A Resilient Steady Clustering Technique for Sensor Networks

A Resilient Steady Clustering Technique for Sensor Networks

Khushboo Jain, Anoop Kumar, Vaibhav Vyas
Copyright: © 2020 |Pages: 12
DOI: 10.4018/IJAEC.2020100101
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Abstract

In wireless sensor networks (WSNs), each sensor node is proficient to transmit data packets dynamically deprived of any constraint of fixed infrastructure. Sensor nodes (SNs) intermittently travels within the network from one cluster to another, which makes the network topology unsteady, uncertain, and unreliable. Consequently, it turns to be an immense challenge to sustain network stability and durability. In this work, the authors have presented a resilient steady clustering technique (RSCT) that will maintain durability and steadiness to the sensor network by reducing the unnecessary and avoidable cluster head (CH) changes and minimizing clustering and networking overheads. In the presented technique, they have introduced a new SN that acts as a standby node (SBN) in the cluster. This SBN performs the tasks of CH whenever the actual CH moves from the cluster. Later the CH re-elect the new SBN. This process keeps the network available and serviceable without any interruption. The decision for selecting the CH and SBN depends on the optimal CH threshold function and an energy threshold function.
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Background

In Sensor Networks, lots of research had directed on energy efficient clustering of routing protocols. To incline such intricate and dynamic challenges, intense research has been performed to make clustered communication more energy efficient. We have studied various well-known methods in the work, out of which few are the highlights.

In (Ye et al., 2005), the authors have proposed a novel Energy Efficient clustering scheme EECS for periodic data collection applications in sensor network. The CHs are selected with highest residual energy via local radio communication also accomplishing a uniform CH distribution. Moreover, they have also introduced a novel technique to balance the load in the sensor network. Simulation and analysis of EECS gives significant results in terms of enhanced network lifetime as compared with the LEACH.

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