A Dynamic Approach to Optimize Energy in RIP, OLSR and Fisheye Routing Protocols using Simulator

Abstract

Energy optimization is an essential issue in wireless sensor network that consumes less energy to give optimum performance under low battery power, limited bandwidth and network life time of each node. In this paper, first we investigate and analyze the impact of receiving energy on nodes and remaining energy in the networks. Analysis and simulation results show that changing receiving energy affects the network life time. This paper proposes a new approach for optimizing energy consumption in wireless sensor networks (WSNs) that consents to maximum life time of nodes while transmitting a packet from the source to destination. It can be implemented by avoiding nodes which has a minimum residual battery power. The proposed approach is implemented by introducing a threshold value on each node and transmitting the equal length of packet on the route. This threshold indicates whether the node should be included in making routing decisions for a packet and length of the packet considered for equal energy consumption. Extensive simulation results are presented to verify the effectiveness of the proposed approach. Considering this importance we made an attempt to study the behavior of three routing protocols in wireless sensor network. Extensive simulations are done on RIP, OLSR and Fisheye to determine the network lifetime at different node mobility and at different network load. Simulation results suggest that OLSR is the most energy efficient protocol as compared to other. Index Terms—Maximum network lifetime, Threshold value, Energy consumption, Length of Packet, Network lifetime, Routing Protocols

Authors and Affiliations

Dharam Vir , Dr. S. K. Agarwal, , Dr. S. A. Imam

Keywords

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  • EP ID EP156931
  • DOI -
  • Views 86
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How To Cite

Dharam Vir, Dr. S. K. Agarwal, , Dr. S. A. Imam (2013). A Dynamic Approach to Optimize Energy in RIP, OLSR and Fisheye Routing Protocols using Simulator. International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(8), 2526-2532. https://europub.co.uk/articles/-A-156931