Paper id 28201419

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International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637

A Study on Topology Control in Wireless Sensor Network Arathy S.lal1,Remya Annie Eapen2 Department of ECE 1, 2, PG Student1 , Assistant Professor2 Email: lalaaru.slal@gmail.com1,remyaannieeapen@gmail.com2 Abstract- The sensor nodes in the Wireless Sensor Networks (WSNs) are prone to deterioration due to many reasons, for example, harsh environment or running out of battery therefore, the WSNs are expected to be able to retain network connectivity. Topology Control (TC) is one of the most important technique used to reduce energy utilization . This technique integrate the decisions of network nodes about their transmission power for prolong network lifetime to save energy while preserving network connectivity. The topology control is a crucial process to maximize the network lifetime of wireless sensor networks. Index Terms- Wireless Sensor Network (WSN), Topology Control, Network lifetime 1. INTRODUCTION Wireless Sensor Networks (WSNs) have become a looming technology that has a extensive range of potential functioning including object tracking, environment monitoring, scientific forecasting and observing , traffic control and etc. The nodes in WSNs are more likely to be detached from each other. In WSNs, hundreds or thousands of sensor nodes are often randomly setup in inaccessible areas where battery cannot to be recharged or replaced .On the other hand, the sensor nodes are subject to unpredictable node flaw, for example, deployment in a hostile environment. The main idea of TC techniques is to regulate nodes’ transmission power to achieve several purpose such as reducing interference, reducing energy consumption, and increasing network. Transmission power control has very crucial effects on throughput and energyefficiency of WSNs. A convenient transmission power for a node transmitting a packet to its neighboring node can save battery power, at the same time, the traffic carrying capacity of network can be upgraded if every node can adjust its transmission power to appropriate level when it is transmitting the relevant information. Topology control has three phases: sensor deployment, topology construction, and topology maintenance. First, the sensor deployment phase is common to all WSN applications. After this initialization phase, the second phase is to build a new unique topology, called the topology construction phase. In this phase, a new topology is constructed while preserving connectivity. The main goal of the topology construction phase is to construct a topology that saves energy and retain network connection. Soon after the topology construction phase the topology maintenance phase must begin. During this phase, nodes updates topology status and provoke a new topology construction phase.

Over a network’s lifetime, this cycle continues until node energy is drained.

2. LITERATURE REVIEW 1. Paper [1] proposes a distributed protocol called COMPOW, in which the minimum common transmitting range is adopted for network connectivity .From the result analysis its evident that the value of transmitting range has the valuable effects, of reducing the controversy to access the wireless channel, maximizing network capacity and minimizing the energy consumption for wireless sensor network. 2. As in paper [2] an Optimal Geographical Density Control (OGDC) algorithm is proposed which addresses both connectivity and sensing coverage in wireless sensor networks. The intention of the algorithm is to compute the minimum number of nodes that must be kept awake such that both sensing coverage and connectivity are preserved. The algorithm is decentralized but demands the network to be sufficiently dense to assure connectivity. 3. In [3], the authors introduce a distributed algorithm called Local Minimum Spanning Tree (LMST) for topology control based on the construction of spanning trees by adjusting the transmission range . Each node runs an algorithm to build a spanning tree and control the transmission power to get the one hop nodes in the tree. The major drawback of LMST is that it needs the development of a spanning tree for each node, which urges a large overhead. 4. In [4], the authors found out that the average range calculated by using a variable transmission range is half than when using the common transmission range. The network capacity does not depend on the number of nodes in the network, so the density of the network does not affect the network capacity, unlike the case of the common transmission range.

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