 Job Description: We are looking for Technical Field Application Engineer / Technical marketing executive to Market & Support VLSI, EMBEDDED PRODUCTS in south India. Salary: INR 1,00,000 - 2,00,000 P.A. Along with Salary - FAE will get Attractive Incentives, Conveyance, Traveling Ta/da Industry: Industrial Products / Heavy Machinery Functional Area: Sales, Retail, Business Development Role Category: Other Role: Trainee Keyskills: VLSI, EMBEDDED, MARKETING, FAE, TECHNICAL SUPPORT, BANGALORE, MBA, BE Desired Candidate Profile: Education:UG - Any Graduate - Any Specialization, Graduation Not Required, B.Tech/B.E. - Any Specialization, Electrical, Electronics/Telecommunication, Instrumentation PG - Any Postgraduate - Any Specialization, Post Graduation Not Required, MBA/PGDM Any Specialization, Marketing Smart, Dynamic, Presentation skills, Hunger to grow, Quick learner, convincing, Target achiever. BE in Electronics, Electrical, instrumentation with MBA Marketing will be preferable. Driving license is must. Company Profile: Silicon Micro Systems https://www.simsindia.net We are Manufacturers of VLSI, EMBEDDED, COMMUNICATION and PLC related products, we are distributors for some of the Global related design companies in India since 1997. Contact Details: Recruiter Name: RAMYA ARADHYA Contact Company: Silicon world Telephone: 08026609313 Reference Id: SIMS-FAE For Apply : Click here  |
 Applicants need to go to the venue mentioned or call on the number provided below Job Description: Cost to Company (CTC): Rs. 3.53 Lakhs per annum (approximately) including Pay and Dearness Allowance, Conveyance Allowance, Company Accommodation / House Rent Allowance, Free Medical Facility, LTA, CPF, Gratuity etc. Vacancies: 21 (UR- 10 OBC- 7 SC – 3 ST - 1) Scale of Pay and Grade: Rs. 9160 - 3% -13150/- (S-3) Qualification: SSC/Matric with ITI or Diploma in Engineering from a recognized Board/Institute with valid Heavy Motor Vehicle Driving License. Ex-Servicemen with equivalent qualification may also apply. Candidates must produce latest Driving License Extract Copy issued by the Regional Transport Authority of the concerned State Govt. at the time of job test. Experience: Should have post-qualification experience of 3 (Three) years for UR/OBC candidates and 2'/2 (Two & half) years for SC/ST candidates in operating Earth Moving / Material Handling Equipments after obtaining Heavy Vehicle Driving License. Mode of Selection: Selection will be through written test, job test and interview to be held at Visakhapatnam. Apply online : http://www.vizagsteel.com Last date for apply online : 10.01.2013 For more details : http://www.vizagsteel.com/ Last Apply Date: 10 Jan 2013 Salary: Rs. 9160 - 3% -13150/- (S-3) Industry: Iron and Steel Functional Area: Production, Manufacturing, Maintenance Desired Candidate Profile Company Profile Visit Visakhapatnam Steel Plant website . Contact Details Reference Id:http://www.vizagsteel.com *****Applicants need to go to the venue mentioned or call on the number provided below*****  |
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Detecting and Resolving Firewall Policy Anomalies
ABSTRACT:
The
advent of emerging computing technologies such as service-oriented
architecture and cloud computing has enabled us to perform business
services more efficiently and effectively. However, we still suffer
from unintended security leakages by unauthorized actions in business
services. Firewalls are the most widely deployed security mechanism to
ensure the security of private networks in most businesses and
institutions. The effectiveness of security protection provided by a
firewall mainly depends on the quality of policy configured in the
firewall. Unfortunately, designing and managing firewall policies are
often error prone due to the complex nature of firewall configurations
as well as the lack of systematic analysis mechanisms and tools. In
this paper, we represent an innovative policy anomaly management
framework for firewalls, adopting a rule-based segmentation technique
to identify policy anomalies and derive effective anomaly resolutions.
In particular, we articulate a grid-based representation technique,
providing an intuitive cognitive sense about policy anomaly. We also
discuss a proof-of-concept implementation of a visualization-based
firewall policy analysis tool called Firewall Anomaly Management
Environment (FAME). In addition, we demonstrate how efficiently our
approach can discover and resolve anomalies in firewall policies
through rigorous experiments.
EXISTING SYSTEM:
Firewall
policy management is a challenging task due to the complexity and
interdependency of policy rules. This is further exacerbated by the
continuous evolution of network and system environments.
The
process of configuring a firewall is tedious and error prone.
Therefore, effective mechanisms and tools for policy management are
crucial to the success of firewalls.
Existing
policy analysis tools, such as Firewall Policy Advisor and FIREMAN,
with the goal of detecting policy anomalies have been introduced.
Firewall Policy Advisor only has the capability of detecting pair wise
anomalies in firewall rules. FIREMAN can detect anomalies among
multiple rules by analyzing the relationships between one rule and the
collections of packet spaces derived from all preceding rules.
However,
FIREMAN also has limitations in detecting anomalies. For each firewall
rule, FIREMAN only examines all preceding rules but ignores all
subsequent rules when performing anomaly analysis. In addition, each
analysis result from FIREMAN can only show that there is a
misconfiguration between one rule and its preceding rules, but cannot
accurately indicate all rules involved in an anomaly.
PROPOSED SYSTEM:
In
this paper, we represent a novel anomaly management framework for
firewalls based on a rule-based segmentation technique to facilitate
not only more accurate anomaly detection but also effective anomaly
resolution.
Based
on this technique, a network packet space defined by a firewall policy
can be divided into a set of disjoint packet space segments. Each
segment associated with a unique set of firewall rules accurately
indicates an overlap relation (either conflicting or redundant) among
those rules.
We
also introduce a flexible conflict resolution method to enable a
fine-grained conflict resolution with the help of several effective
resolution strategies with respect to the risk assessment of protected
networks and the intention of policy definition.
System Configuration:-H/W System Configuration:-
ü Processor -Pentium –III
ü Speed
ü RAM - 256 MB(min)
ü Hard Disk - 20 GB
ü Floppy Drive - 1.44 MB
ü Key Board - Standard Windows Keyboard
ü Mouse - Two or Three Button Mouse
ü Monitor - SVGA
S/W System Configuration:-
v Operating System : Windows95/98/2000/XP
v Front End : Java
REFERENCE:
Hongxin
Hu, Student Member, IEEE, Gail-Joon Ahn, Senior Member, IEEE, and Ketan
Kulkarni,” Detecting and Resolving Firewall Policy Anomalies”, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 9, NO. 3, MAY/JUNE 2012.
 |
|
Posted: 28 Dec 2012 12:49 PM PST
 Walkin Interview from 29th December to 31st December from 11 AM *******Applicants need to go to the venue mentioned or call on the number provided below******* Job Description: Financial Planning Executives 1. Getting regular business from existing set of clients. 2. Acquiring new clients through referrals. 3. Establishing relationships with new clients by regular presentations or discussions. 4. Consistent achievement of monthly targets. 5. Penetration of all products in all clients" portfolios Salary: INR 1,00,000 - 6,00,000 P.A Industry: Banking / Financial Services / Broking Functional Area: Sales, Retail, Business Development Role Category: Retail Sales Role: Sales/Business Development Manager Keyskills: freshers sales financial planning mutual funds Relationship managers Desired Candidate Profile Education:(UG - Any Graduate - Any Specialization, Graduation Not Required) AND (PG - Any Postgraduate - Any Specialization, Post Graduation Not Required) AND ( Doctorate - Any Doctorate - Any Specialization, Doctorate Not Required) Company Profile: Bajaj Capital Limited http://www.bajajcapital.com The Bajaj Capital Group is one of India"s premier Investment Advisory and Financial Planning companies. We are also SEBI-approved Category I Merchant Bankers. We offer personalised Investment Advisory and Financial Planning services to individual investors, corporate houses, institutional investors, Non-Resident Indians (NRIs) and High Networth Clients, among others. As one of India s largest distributors of financial products, we offer a wide range of investment products such as mutual funds, life and general insurance, bonds, post office schemes, etc. offered by reputed public and private and government organisations. Contact Details: Recruiter Name: Amrita Pandya Gupta Contact Company: Bajaj Capital Limited Address: 97,bajaj House,5th Floor, Nehru Place NEW DELHI,Delhi,India Telephone: 91-11-4400044 Walkin Interview from 29th December to 31st December from 11 AM DATE AND VENUE OF INTERVIEW: From - 28th,29th and 31st December BAJAJ CAPITAL LTD. 97 Bajaj house 5th floor , Nehru Place 11am - 5pm   |
|
Posted: 28 Dec 2012 12:31 PM PST
MK Nano Technologies
Job Description: candidate specifications Candidates can be in their final year of B.Tech(CS/IT)/ MCA or pass out and should be available from JAN to JUN for such industrial training During this period of training candidate will be provided extensive training on IT solution/ Products covering entire Software Development Cycle Performance will be evaluated continuously and qualified candidate will be offered jobs in development or support latest from 1st July 2013 or earlier. During this period, we will not make any stipend to the candidate but will provide infrastructure facilities at our office at Gurgaon. All Candidates are required to bring their own laptop. We prefer candidates with prior knowledge on Microsoft Shop (Visual Studio & .Net 3.5 or above, HTML, JQuery & CSS) We will not charge anything from candidate in lieu of above training. We will provide requisite Certificate to the candidates on successful training. Salary: No Stipend Industry: IT-Software / Software Services Functional Area: IT Software - Application Programming, Maintenance Role Category: Other Role: Trainee Keyskills: Software Engineer / Software Programmer/ Software Trainee / Software Developer, software development, senior software engineer Desired Candidate Profile: Education:(UG - B.Tech/B.E. - Computers) OR (PG - MCA - Computers) AND ( Doctorate - Doctorate Not Required) Please refer to the Job description above Company Profile: MK Nano Technologies Pvt Ltd. We are a software company & our team is specialized in designing & creating tools that can improve productivity of individual or Team and works on all platforms (Mobile, Web & Desktop). We can Develop, Migrate & Monitor applications on conventional servers as well as on Cloud. We guarantee superior service & zero downtime to all our clients Contact Details; Recruiter Name: Neha Sharma Contact Company: MK Nano Technologies Pvt Ltd Reference Id: MKN/12/12/1001 For Apply : click here   |
|
Posted: 27 Dec 2012 10:36 PM PST
Design and Implementation of TARF:
A Trust-Aware Routing Framework for WSNs
ABSTRACT:
The multihop routing in wireless sensor networks (WSNs)
offers little protection against identity deception through replaying
routing information. An adversary can exploit this defect to launch
various harmful or even devastating attacks against the routing
protocols, including sinkhole attacks, wormhole attacks, and Sybil
attacks. The situation is further aggravated by mobile and harsh
network conditions. Traditional cryptographic techniques or efforts at
developing trust-aware routing protocols do not effectively address
this severe problem. To secure the WSNs against adversaries
misdirecting the multihop routing, we have designed and implemented
TARF, a robust trust-aware routing framework for dynamic WSNs. Without
tight time synchronization or known geographic information, TARF
provides trustworthy and energy-efficient route. Most importantly, TARF
proves effective against those harmful attacks developed out of
identity deception; the resilience of TARF is verified through
extensive evaluation with both simulation and empirical experiments on
large-scale WSNs under various scenarios including mobile and
RF-shielding network conditions. Further, we have implemented a
low-overhead TARF module in TinyOS; as demonstrated, this
implementation can be incorporated into existing routing protocols with
the least effort. Based on TARF, we also demonstrated a
proof-of-concept mobile target detection application that functions
well against an anti-detection mechanism.
EXISTING SYSTEM:
In the existing system, the multihop routing of
WSNs often becomes the target of malicious attacks. An attacker may
tamper nodes physically, create traffic collision with seemingly valid
transmission, drop or misdirect messages in routes, or jam the
communication channel by creating radio interference.
PROPOSED SYSTEM:
In the proposed system , to secure the WSNs against
adversaries misdirecting the multihop routing, we have designed and
implemented TARF, a robust trust-aware routing framework for dynamic
WSNs.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
• Operating system : - Windows XP
• Coding Language :- JAVA
REFERENCE:
Guoxing Zhan, Weisong Shi, and Julia Deng, “Design
and Implementation of TARF: A Trust-Aware Routing Framework for WSNs”, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 9, NO. 2, MARCH/APRIL 2012.
  |
|
Posted: 27 Dec 2012 10:25 PM PST
ABSTRACT
A
wireless sensor network can get separated into multiple connected
components due to the failure of some of its nodes, which is called a
“cut”. In this article we consider the problem of detecting cuts by the
remaining nodes of a wireless sensor network. We propose an algorithm
that allows (i) every node to detect when the connectivity to a
specially designated node has been lost, and (ii) one or more nodes
(that are connected to the special node after the cut) to detect the
occurrence of the cut. The algorithm is distributed and asynchronous:
every node needs to communicate with only those nodes that are within
its communication range. The algorithm is based on the iterative
computation of a fictitious “electrical potential” of the nodes. The
convergence rate of the underlying iterative scheme is independent of
the size and structure of the network.
EXISTING SYSTEM
Wireless Multimedia Sensor Networks (WMSNs) has many challenges such as
nature of wireless media and multimedia information transmission.
Consequently traditional mechanisms for network layers are no longer
acceptable or applicable for these networks. Wireless sensor network
can get separated into multiple connected components due to the failure
of some of its nodes, which is called a “cut”. Existing cut detection
system deployed only for wired networks.
Disadvantages
1. Unsuitable for dynamic network reconfiguration.
2. Single path routing approach.
PROPOSED SYSTEM
Wireless
sensor networks (WSNs) are a promising technology for monitoring large
regions at high spatial and temporal resolution .Failure of a set of
nodes will reduce the number of multi-hop paths in the network. Such
failures can cause a subset of nodes – that have not failed – to become
disconnected from the rest, resulting in a “cut”. Two nodes are said to
be disconnected if there is no path between them. We consider the
problem of detecting cuts by the nodes of a wireless network. We assume
that there is a specially designated node in the network, which we call
the source nodeSince
a cut may or may not separate a node from the source node, we
distinguish between two distinct outcomes of a cut for a particular
node. When a node u is disconnected from the source, we say that a DOS (Disconnected from Source) event has occurred for u. When a cut occurs in the network that does not separate a node u from the source node, we say that CCOS (Connected, but a Cut Occurred Somewhere) event has occurred for u. By cut detection we mean (i) detection by each node of a DOS event when it
occurs, and (ii) detection of CCOS events by the nodes close to a cut,
and the approximate location of the cut. In this article we propose a
distributed algorithm to detect cuts, named the Distributed Cut Detection (DCD)
algorithm. The algorithm allows each node to detect DOS events and a
subset of nodes to detect CCOS events. The algorithm we propose is
distributed and asynchronous: it involves only local communication
between neighboring nodes, and is robust to temporary communication
failure between node pairs The convergence rate of the computation is
independent of the size and structure of the network.
MODULE DESCRIPTION:
DISTRIBUTED CUT DETECTION:
The algorithm allows each node to detect DOS events and a subset of
nodes to detect CCOS events. The algorithm we propose is distributed
and asynchronous: it involves only local communication between
neighboring nodes, and is robust to temporary communication failure
between node pairs. A key component of the DCD algorithm is a
distributed iterative computational step through which the nodes
compute their (fictitious) electrical potentials. The convergence rate
of the computation is independent of the size and structure of the
network.
CUT:
Wireless sensor networks (WSNs) are a promising technology for
monitoring large regions at high spatial and temporal resolution. In
fact, node failure is expected to be quite common due to the typically
limited energy budget of the nodes that are powered by small batteries.
Failure of a set of nodes will reduce the number of multi-hop paths in
the network. Such failures can cause a subset of nodes – that have not
failed – to become disconnected from the rest, resulting in a “cut”.
Two nodes are said to be disconnected if there is no path between them.
SOURCE NODE:
We consider the problem of detecting cuts by the nodes of a wireless
network. We assume that there is a specially designated node in the
network, which we call the source node. The source node may be
a base station that serves as an interface between the network and its
users.Since a cut may or may not separate a node from the source node,
we distinguish between two distinct outcomes of a cut for a particular
node.
CCOS AND DOS:
When a node u is disconnected from the source, we say that a DOS (Disconnected frOm Source) event has occurred for u. When a cut occurs in the network that does not separate a node u from the source node, we say that CCOS (Connected, but a Cut Occurred Somewhere) event has occurred for u.
By cut detection we mean (i) detection by each node of a DOS event when
it occurs, and (ii) detection of CCOS events by the nodes close to a
cut, and the approximate location of the cut.
NETWORK SEPARATION:
Failure
of a set of nodes will reduce the number of multi-hop paths in the
network. Such failures can cause a subset of nodes – that have not
failed – to become disconnected from the rest, resulting in a “cut”.
Because of cut, some nodes may separated from the network, that results
the separated nodes can’t receive the data from the source node.
System Configuration:-
H/W System Configuration:-
Processor - Pentium –III
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
Floppy Drive - 1.44 MB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor
S/W System Configuration:-
Operating System :Windows XP
Front End : JAVA,RMI, SWING
CONCLUSION
  |
|
Posted: 28 Dec 2012 12:49 PM PST
Walkin Interview from 29th December to 31st December from 11 AM *******Applicants need to go to the venue mentioned or call on the number provided below******* Job Description: Financial Planning Executives 1. Getting regular business from existing set of clients. 2. Acquiring new clients through referrals. 3. Establishing relationships with new clients by regular presentations or discussions. 4. Consistent achievement of monthly targets. 5. Penetration of all products in all clients" portfolios Salary: INR 1,00,000 - 6,00,000 P.A Industry: Banking / Financial Services / Broking Functional Area: Sales, Retail, Business Development Role Category: Retail Sales Role: Sales/Business Development Manager Keyskills: freshers sales financial planning mutual funds Relationship managers Desired Candidate Profile Education:(UG - Any Graduate - Any Specialization, Graduation Not Required) AND (PG - Any Postgraduate - Any Specialization, Post Graduation Not Required) AND ( Doctorate - Any Doctorate - Any Specialization, Doctorate Not Required) Company Profile: Bajaj Capital Limited http://www.bajajcapital.com The Bajaj Capital Group is one of India"s premier Investment Advisory and Financial Planning companies. We are also SEBI-approved Category I Merchant Bankers. We offer personalised Investment Advisory and Financial Planning services to individual investors, corporate houses, institutional investors, Non-Resident Indians (NRIs) and High Networth Clients, among others. As one of India s largest distributors of financial products, we offer a wide range of investment products such as mutual funds, life and general insurance, bonds, post office schemes, etc. offered by reputed public and private and government organisations. Contact Details: Recruiter Name: Amrita Pandya Gupta Contact Company: Bajaj Capital Limited Address: 97,bajaj House,5th Floor, Nehru Place NEW DELHI,Delhi,India Telephone: 91-11-4400044 Walkin Interview from 29th December to 31st December from 11 AM DATE AND VENUE OF INTERVIEW: From - 28th,29th and 31st December BAJAJ CAPITAL LTD. 97 Bajaj house 5th floor , Nehru Place 11am - 5pm   |
|
Posted: 28 Dec 2012 12:31 PM PST
MK Nano Technologies
Job Description: candidate specifications Candidates can be in their final year of B.Tech(CS/IT)/ MCA or pass out and should be available from JAN to JUN for such industrial training During this period of training candidate will be provided extensive training on IT solution/ Products covering entire Software Development Cycle Performance will be evaluated continuously and qualified candidate will be offered jobs in development or support latest from 1st July 2013 or earlier. During this period, we will not make any stipend to the candidate but will provide infrastructure facilities at our office at Gurgaon. All Candidates are required to bring their own laptop. We prefer candidates with prior knowledge on Microsoft Shop (Visual Studio & .Net 3.5 or above, HTML, JQuery & CSS) We will not charge anything from candidate in lieu of above training. We will provide requisite Certificate to the candidates on successful training. Salary: No Stipend Industry: IT-Software / Software Services Functional Area: IT Software - Application Programming, Maintenance Role Category: Other Role: Trainee Keyskills: Software Engineer / Software Programmer/ Software Trainee / Software Developer, software development, senior software engineer Desired Candidate Profile: Education:(UG - B.Tech/B.E. - Computers) OR (PG - MCA - Computers) AND ( Doctorate - Doctorate Not Required) Please refer to the Job description above Company Profile: MK Nano Technologies Pvt Ltd. We are a software company & our team is specialized in designing & creating tools that can improve productivity of individual or Team and works on all platforms (Mobile, Web & Desktop). We can Develop, Migrate & Monitor applications on conventional servers as well as on Cloud. We guarantee superior service & zero downtime to all our clients Contact Details; Recruiter Name: Neha Sharma Contact Company: MK Nano Technologies Pvt Ltd Reference Id: MKN/12/12/1001 For Apply : click here   |
|
Posted: 27 Dec 2012 10:36 PM PST
Design and Implementation of TARF:
A Trust-Aware Routing Framework for WSNs
ABSTRACT:
The multihop routing in wireless sensor networks (WSNs)
offers little protection against identity deception through replaying
routing information. An adversary can exploit this defect to launch
various harmful or even devastating attacks against the routing
protocols, including sinkhole attacks, wormhole attacks, and Sybil
attacks. The situation is further aggravated by mobile and harsh
network conditions. Traditional cryptographic techniques or efforts at
developing trust-aware routing protocols do not effectively address
this severe problem. To secure the WSNs against adversaries
misdirecting the multihop routing, we have designed and implemented
TARF, a robust trust-aware routing framework for dynamic WSNs. Without
tight time synchronization or known geographic information, TARF
provides trustworthy and energy-efficient route. Most importantly, TARF
proves effective against those harmful attacks developed out of
identity deception; the resilience of TARF is verified through
extensive evaluation with both simulation and empirical experiments on
large-scale WSNs under various scenarios including mobile and
RF-shielding network conditions. Further, we have implemented a
low-overhead TARF module in TinyOS; as demonstrated, this
implementation can be incorporated into existing routing protocols with
the least effort. Based on TARF, we also demonstrated a
proof-of-concept mobile target detection application that functions
well against an anti-detection mechanism.
EXISTING SYSTEM:
In the existing system, the multihop routing of
WSNs often becomes the target of malicious attacks. An attacker may
tamper nodes physically, create traffic collision with seemingly valid
transmission, drop or misdirect messages in routes, or jam the
communication channel by creating radio interference.
PROPOSED SYSTEM:
In the proposed system , to secure the WSNs against
adversaries misdirecting the multihop routing, we have designed and
implemented TARF, a robust trust-aware routing framework for dynamic
WSNs.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
• Operating system : - Windows XP
• Coding Language :- JAVA
REFERENCE:
Guoxing Zhan, Weisong Shi, and Julia Deng, “Design
and Implementation of TARF: A Trust-Aware Routing Framework for WSNs”, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 9, NO. 2, MARCH/APRIL 2012.
  |
|
Posted: 27 Dec 2012 10:25 PM PST
ABSTRACT
A
wireless sensor network can get separated into multiple connected
components due to the failure of some of its nodes, which is called a
“cut”. In this article we consider the problem of detecting cuts by the
remaining nodes of a wireless sensor network. We propose an algorithm
that allows (i) every node to detect when the connectivity to a
specially designated node has been lost, and (ii) one or more nodes
(that are connected to the special node after the cut) to detect the
occurrence of the cut. The algorithm is distributed and asynchronous:
every node needs to communicate with only those nodes that are within
its communication range. The algorithm is based on the iterative
computation of a fictitious “electrical potential” of the nodes. The
convergence rate of the underlying iterative scheme is independent of
the size and structure of the network.
EXISTING SYSTEM
Wireless Multimedia Sensor Networks (WMSNs) has many challenges such as
nature of wireless media and multimedia information transmission.
Consequently traditional mechanisms for network layers are no longer
acceptable or applicable for these networks. Wireless sensor network
can get separated into multiple connected components due to the failure
of some of its nodes, which is called a “cut”. Existing cut detection
system deployed only for wired networks.
Disadvantages
1. Unsuitable for dynamic network reconfiguration.
2. Single path routing approach.
PROPOSED SYSTEM
Wireless
sensor networks (WSNs) are a promising technology for monitoring large
regions at high spatial and temporal resolution .Failure of a set of
nodes will reduce the number of multi-hop paths in the network. Such
failures can cause a subset of nodes – that have not failed – to become
disconnected from the rest, resulting in a “cut”. Two nodes are said to
be disconnected if there is no path between them. We consider the
problem of detecting cuts by the nodes of a wireless network. We assume
that there is a specially designated node in the network, which we call
the source nodeSince
a cut may or may not separate a node from the source node, we
distinguish between two distinct outcomes of a cut for a particular
node. When a node u is disconnected from the source, we say that a DOS (Disconnected from Source) event has occurred for u. When a cut occurs in the network that does not separate a node u from the source node, we say that CCOS (Connected, but a Cut Occurred Somewhere) event has occurred for
|
12/31/12
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