Abstract
Route selection using optimal nodes in Wireless Sensor Network (WSN) is a prominent task to improve network performance without deterioration. Intrinsic characteristics of the node, network traffic are some of the reason where routing algorithms fail to prove their consistency. In such cases, the conventional routing schemes must be equipped with additional network management features to retain network performance. This manuscript proposes a Heuristic Local Search (HLS) algorithm for improving routing efficiency of WSN. This search algorithm is backboned by clustering process; the cluster head is elected by satisfying balanced network metrics: energy and distance. Congestion preventive routing considers the same objective function in selecting an outside intermediate node that mitigates packet loss due to congestion. Implication of similar objective function under different constraints streamlines routing and prolongs the operation period of the cluster head. The process of the proposed HLS is evaluated using extensive simulation for the metrics: throughput, network lifetime, cluster head changes, energy utilization and packet loss ratio.
Highlights
Wireless Sensor Network (WSN) integrates a wide-range of sensors that gathers information from the environment and conveys to a sink node [1]
A conventional technique to conserve energy and to improve routing is data gathering that is renowned in WSN [4]
EAP forms a spanning tree using all the cluster heads the root node communicates to the sink in one-hop, energy consumed in free space is less
Summary
Wireless Sensor Network (WSN) integrates a wide-range of sensors that gathers information from the environment and conveys to a sink node [1]. Power expenditure grows high, leading to earlier energy drain of the nodes In this scenario, the node needs to be replaced or its battery has to be recharged at the earliest to pursue on-going communication [6]. Routing protocols are designed to achieve energy conservation, data aggregation and network lifetime prolonging besides routing [7]. Another conventional technique for achieving energy efficiency in WSN is clustering. In a clustering process, communicating nodes alone remain in active state, the rest of the nodes are directed to move to sleep state This process of state change-over is aided through duty-cycle algorithms designed for sensor nodes. This is more predominant in improving energy efficiency by curtailing unnecessary energy expenses [8, 10]
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