Cut Detection in Wireless Sensor Network

80 International Journal for Modern Trends in Science and Technology
Volume: 2 | Issue: 05 | May 2016 | ISSN: 2455-3778IJMTST
Cut Detection in Wireless Sensor
Network
Prof.Vrushali Kondhalkar1
| Tambe Bhagyashri2
| Temkar Gaurav3
| Thorawat Prafull4
1Department of Computer Engineering, JSPM’s JSCOE,Hadapsar, Pune, Maharashtra,India.
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 paper, we consider the problem of detecting cuts by the remaining
nodes of a wireless sensor network. We propose an algorithm that allows 1) every node to detect when the
connectivity to a specially designated node has been lost, and 2) 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.
KEYWORDS: CUT DETECTION,NETWORK SEPERATION,SENSOR NETWORK,ITERATIVE COMPUTATION.
Copyright © 2015 International Journal for Modern Trends in Science and Technology
All rights reserved.
I. INTRODUCTION
Wireless sensor networks (WSNs) are a promising
technology for monitoring large regions at high
spatial and temporal resolution. However, the
small size and low cost of the nodes that makes
them attractive for wide spread deployment also
causes the disadvantage of low-operational
reliability. A node may fail due to various factors
such as mechanical/electrical problems,
environmental degradation, battery depletion, or
hostile tampering. 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[1].
In this paper, 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. 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[2].The DOS detection part
of the algorithm is applicable to arbitrary networks;
a node only needs to communicate a scalar variable
to its neighbors. The CCOS detection part of the
algorithm is limited to networks that are deployed
in 2D euclidean spaces, and nodes need to know
their own positions. The position information need
not be highly accurate. The proposed algorithm is
an extension of partially examined the DOS
detection problem [3].
II. DISTRIBUTION CUT DETECTION
The algorithm we propose is asynchronous and
distributed: it involves communication between
ABSTRACT

Cut Detection in Wireless Sensor Network
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 from sensor network compute their electrical
potentials.[2]
A. 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.
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.[1]
B. Source node
We consider the problem of detecting cuts by the
nodes of a wireless sensor 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 [1]
C. 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.[1]
III. DCD ALGORITHM
Comes with provable characterization on the DOS
detection accuracy CCOS events detection can be
identified
DCD algorithm enables base station and also every
node to detect if it is disconnected from the base
station.
A. DOS DETECTION
As the name of algorithm says its Disconnected
from source. To send packets we use Shortest path
algorithm, it is based on energy that means at the
time of sending packets from source sensors node
to destination sensor node, due to throughput or
any energy related issue packets are not reaching
to destination. And that disturbance is from near to
source sensor node [3]. To resolve this problem we
use the alternative shortest path. After repairing
the cut, packets are transferred from earlier path.
Diagram 1(a) shows cut occurred near to the
source sensor node. Due to this it find some
another alternative path to transferred a packets to
destination sensor node. Diagram 1(b) shows
alternative shortest path [2].
1(a)
1(b)
B. CCOS Detection
As the name of algorithm says it’s Connected but
Cut Occurred From Source. At the time of sanding
packets cut is occurred somewhere middle in the
path. To resolve this problem it uses alternative
shortest path. Cut occurred in respective node, i.e.
node not having sufficient energy to pass the
packets forward. diagram 2(a) shows cut occurred
in between the path[1]. To resolve this , it does the
same thing as done in DOS.
2(a)

2(b)
IV. RESULTS
Status of Different Communicating Nodes:
Cut Detection Network Monitor:

Cut Detection in Wireless Sensor Network
V. CONCLUSION
We conclude that, The DCD algorithm we
propose here enables every node of a wireless
sensor network to detect disconnected from source
event if they occur. Second, it enables the subset of
nodes that experiences CCOS event to detect them
and estimate the approximate location of the cut in
the form of a list of active nodes that lie at
theboundary of the cut/hole. A key strength of the
DCD algorithm is that the convergence rate of the
underlying iterative scheme is quite fast and
independent of the size and structure of the
network, which makes detection using this
algorithm quite fast[5].
REFERENCES
[1] G. Dini, M. Pelagatti, and I.M. Savino, ―An
Algorithm for Reconnecting Wireless Sensor
Network Partitions,‖ Proc. European Conf. Wireless
Sensor Networks, pp. 253-267, 2008.
[2] N. Shrivastava, S. Suri, and C.D. To´ th, ―Detecting
Cuts in Sensor Networks,‖ ACM Trans. Sensor
Networks, vol. 4, no. 2, pp. 1-25, 2008.
[3] H. Ritter, R. Winter, and J. Schiller, ―A Partition
Detection System for Mobile Ad-hoc Networks,‖ Proc.
First Ann. IEEE Comm. Soc. Conf. Sensor and Ad
Hoc Comm. And Networks (IEEE SECON ’04), pp.
489-497, Oct. 2004.
[4] M. Hauspie, J. Carle, and D. Simplot, ―Partition
Detection in Mobile Ad-Hoc Networks,‖ Proc. Second
Mediterranean Workshop Ad-Hoc Networks, pp.
25-27, 2003.

[5] P. Barooah, ―Distributed Cut Detection in Sensor
Networks,‖ Proc. 47th IEEE Conf. Decision and
Control, pp. 1097-1102, Dec.2008.
[6] A.D. Wood, J.A. Stankovic, and S.H. Son, ―Jam: A
Jammed-Area Mapping Service for Sensor
Networks,‖ Proc. IEEE Real Time Systems Symp.,
2003.

Cut Detection in Wireless Sensor Network

More Related Content

What's hot (19)

Viewers also liked (19)

Similar to Cut Detection in Wireless Sensor Network (20)

Recently uploaded (20)

Cut Detection in Wireless Sensor Network