A Type of Virtual Force based Energy-hole Mitigation Strategy for Sensor Networks

TL;DR

This paper introduces a Virtual Force based Energy-hole Mitigation strategy (VFEM) that optimizes node distribution and data forwarding paths to extend sensor network lifetime and prevent energy holes.

Contribution

The paper proposes a novel VFEM approach using virtual forces and annulus-based node optimization to effectively mitigate energy holes in sensor networks.

Findings

VFEM delays energy-hole formation

Prolongs network lifetime compared to existing methods

Balances energy consumption among nodes

Abstract

In the era of Big Data and Mobile Internet, how to ensure the terminal devices (e.g., sensor nodes) work steadily for a long time is one of the key issues to improve the efficiency of the whole network. However, a lot of facts have shown that the unattended equipments are prone to failure due to energy exhaustion, physical damage and other reasons. This may result in the emergence of energy-hole, seriously affecting network performance and shortening its lifetime. To reduce data redundancy and avoid the generation of sensing blind areas, a type of Virtual Force based Energy-hole Mitigation strategy (VFEM) is proposed in this paper. Firstly, the virtual force (gravitation and repulsion) between nodes is introduced that makes nodes distribute as uniformly as possible. Secondly, in order to alleviate the "energy-hole problem", the network is divided into several annuluses with the same width. Then, another type of virtual force, named "virtual gravity generated by annulus", is proposed to further optimize the positions of nodes in each annulus. Finally, with the help of the "data forwarding area", the optimal paths for data uploading can be selected out, which effectively balances energy consumption of nodes. Experiment results show that, VFEM has a relatively good performance on postponing the generation time of energy-holes as well as prolonging the network lifetime compared with other typical energy-hole mitigation methods.