Energy Efficient Rule based intelligent routing using Fitness Functions in Wireless Sensor Networks
Santhosh Kumar SVN1, M. Selvi2, A Gayathri3, Ruby D4, A kannan5
1Santhosh Kumar SVN*, School of Information Engineering and Technology, VIT University, Vellore, India,
2M. Selvi, School of Computer Science and Engineering, VIT University.
3Gaythri.A, School of Information Engineering and Technology, VIT University, Vellore, India.
4Ruby.D, School of Computer Science and Engineering, VIT University.
4Kannan Arputharaj, School of Computer Science and Engineering, VIT University.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 5414-5420 | Volume-8 Issue-12, October 2019. | Retrieval Number: L37901081219/2019©BEIESP | DOI: 10.35940/ijitee.L3790.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wireless Sensor Networks (WSNs) is a distributed collection of tiny wireless nodes which forms an ad hoc network dynamically to sense the natural phenomenon and sent it to the control station. Due to the resource constrained nature of WSN, maximizing the nodes life time is main and challenging issue. In this paper, Fitness Function based Routing Protocol (FFBRP) is proposed which provides the optimal routing to increase the life time of nodes in a network. The proposed protocol selects the fitness functions based on the important routing parameters like nodes energy consumption, nodes life time, packet Delivery ratio of nodes, distance between nodes, end to end delay of nodes and routing overhead of nodes. Based on the combination of selected fitness function parameters, the intelligent rules are generated and the optimal routes are discovered to perform energy efficient effective routing in WSN. By doing so, the proposed protocol provides better performance in terms of network life time and has better Quality of Service (QoS) than other existing techniques. The implementation of the proposed scheme is carried out using Network Simulator (NS2) with mannasim framework. Simulation results justifies that, proposed protocol outperforms the existing techniques and has better Packet Delivery Ratio, throughput , network life time, energy consumption, end to end delay and routing overhead .
Keywords: Wireless Sensor Network, fitness function, Energy Optimization, Life Time, Efficient Routing
Scope of the Article: Wireless Sensor Network