Abstract

Abstract Energy efficiency in wireless sensor networks (WSNs) is of a primary concern due to the limited energy capacity of sensor nodes. Since most power dissipation occurs in wireless communication, it becomes imperative to reduce the energy costs of communication by developing power efficient communication protocols. To that end, this paper presents scaling hierarchical power efficient clustering with energy aware routing (SHEAR), which offers a clustering based scalable topology control coupled with an energy aware path selection scheme. By selecting cluster heads based on the maximum local residual energy of neighboring nodes, the topology control of SHEAR distributes energy dissipation evenly among all clusters. Additionally, routes for packet flows are allocated such that the aggregate energy consumption along a chosen path is minimized while avoiding the nodes with low energy levels. Simulation results demonstrate the effectiveness of SHEAR in attaining reasonably long-lived WSNs.

Highlights

  • Advances in the fields of low power radio and micro-electromechanical systems have given rise to smart devices with embedded control systems and computational units

  • We have presented a distributed, energy efficient clustering routing protocol with energy aware path selection schemes to improve the lifetime of sensor networks

  • A key feature of the proposed approach is that cluster heads are elected based on the maximum local residual energy of the neighboring nodes to distribute energy dissipation evenly among all clusters

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Summary

Background

Advances in the fields of low power radio and micro-electromechanical systems have given rise to smart devices with embedded control systems and computational units. Each cluster comprises a CH, which is elected based on different election algorithms, and which is responsible for coordination among the clustered nodes, data aggregation, fusion and routing to the other CHs or the BS This decreases the number of messages transmitted to the BS to efficiently reduce the energy consumption of sensor nodes.

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