Reliability and Energy Efficient Cluster Based Routing Protocol for Wireless Sensor Networks
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : Suganya N , Jasmine Selvakumari Jeya , Suganthi J|
|DOI : 10.14445/22312803/IJCTT-V17P130|
Suganya N , Jasmine Selvakumari Jeya , Suganthi J. "Reliability and Energy Efficient Cluster Based Routing Protocol for Wireless Sensor Networks". International Journal of Computer Trends and Technology (IJCTT) V17(3):156-160, Nov 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Due to the Recent development in wireless technology, sensor networks researchers’ attention because of their applicability in many fields for effective collection of sensing data with low cost. Nodes in such applications are equipped with limited energy supply and need careful management in order to extend their lifetime. Inorder to conserve energy, many of the routing protocols proposed for wireless sensor networks reduce the number of transmitted packets by pursuing in-network data aggregation. Reliability and energy efficiency are critical problem in wireless sensor networks. In this work, Delay bounded Energy constrained Adaptive Routing (DEAR) problem with reliability, differential delay, and transmission data energy consumption constraints in wireless sensor networks and also discuss improvements to be made for future proposed clustering schemes. This paper provides the reader with a basis for research in clustering schemes for Wireless Sensor Networks. The paper will address this problem and solution. In the paper, a routing algorithm is proposed by introducing Energy Delay Index for Trade-off (EDIT) to optimize both objectives energy and delay. EDIT is used to select Cluster Heads (CHs) and “next hop” by considering energy and/or delay requirements of a given application. Proposed approach is using two different aspects of distances between a node and the sink named Euclidean distance and Hop count, and further proven using realistic parameters of radio to get data closest to the test bed implementation. The result aspires to give sufficient insights to others before doing test bed implementation.
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Wireless Sensor Network, Cluster Head Election, Energy Delay Trade-off, Multi-hop routing.