alexa Improving the Network Life Time of Wireless Sensor Netw
ISSN: 2090-4886

International Journal of Sensor Networks and Data Communications
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Research Article

Improving the Network Life Time of Wireless Sensor Network using EEEMR Protocol with Clustering Algorithm

Nayak JA*, Rambabu CH and Prasad VVKDV

ECE Department, Gudlavalleru Engineering College, Gudlavalleru, AP, India

*Corresponding Author:
Nayak JA
PG Student, ECE Department
Gudlavalleru Engineering College
Gudlavalleru, AP, India
Tel: 086742 73737
E-mail: [email protected]

Received Date: June 15, 2017; Accepted Date: June 22, 2017; Published Date: June 28, 2017

Citation: Nayak JA, Rambabu CH, Prasad VVKDV (2017) Improving the Network Life Time of Wireless Sensor Network using EEEMR Protocol with Clustering Algorithm. Int J Sens Netw Data Commun 6:151. doi: 10.4172/2090-4886.1000151

Copyright: © 2017 Nayak JA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Energy efficient routing is a one of the major trusted area in Wireless Sensor Networks (WSNs). The wireless sensor network composed of a large number of sensor nodes which has limited energy resource. The sensor nodes are working through the battery, energy saving becomes more vital issue in WSNs. The routing algorithms assure the concept of energy saving without affecting the Quality of Service (QoS) Parameters like Throughput, End to End Delay, Overhead and Packet Delivery Ratio. In the existing system the Enhanced Energy Efficient Multipath Routing (EEEMR) Protocol is implemented. The EEEMR Protocol is modification of AOMDV Protocol. In this paper, we are implementing Clustering algorithm in EEEMR Protocol. The development of cluster based sensor networks have recently shown to decrease the system delay, overhead and increase the system throughput and packet delivery ratio. Simulation is performed using NS2 and results shows that the proposed system is better than the existing system. The proposed system energy consumption is decreased by 13% compared to the existing system.


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