Title: Energy and interference aware multipath routing for load balancing in wireless sensor network

Authors: Abdulrauf Montaser Ahmed; Rajeev Paulus

Addresses: Department of Electronics and Communication Engineering, Shepherd School of Engineering and Technology, SHIATS, Naini, Allahabad-07, India ' Department of Electronics and Communication Engineering, Shepherd School of Engineering and Technology, SHIATS, Naini, Allahabad-07, India

Abstract: During routing in a wireless sensor network, when the node count is increased, the end-to-end delay is also increased as the number of hops among source and destination also increased. Also, the existing routing technique does not consider the interference metrics. Hence, in this paper, we propose energy and interference aware multipath routing for load balancing in a wireless sensor network. When the source node wants to transmit the data towards the destination, multiple paths is established based on the parameters such as residual energy and interference metrics. During route discovery, the nodes in the interference zone are marked and prevented to participate in succeeding routing process. This reduces the interference and improves the network quality. And to distribute the traffic over the discovered multiple path, load balancing algorithm is used. The algorithm proportionally allocates the data packets transmission ratio to different paths according to reinforcement weights. This enhances the network lifetime. By simulation results, we show that the proposed technique reduces the energy consumption and interference ratio.

Keywords: wireless sensor networks; WSNs; multiple paths; data packet transmission; energy awareness; interference awareness; multipath routing; load balancing; energy consumption; reinforcement weights; network lifetime; simulation; interference ratio.

DOI: 10.1504/IJMNDI.2016.081664

International Journal of Mobile Network Design and Innovation, 2016 Vol.6 No.4, pp.228 - 235

Received: 07 Oct 2015
Accepted: 22 Apr 2016

Published online: 19 Jan 2017 *

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