An Energy Efficient Self-healing Mechanism for Long Life Wireless Sensor Networks

TL;DR

This paper introduces an energy-efficient self-healing mechanism for wireless sensor networks that uses probabilistic sentinel schemes, node and link adaptation to maintain connectivity and reduce energy consumption.

Contribution

It proposes a novel probabilistic sentinel scheme with node and link adaptation techniques to enhance energy efficiency and connectivity in wireless sensor networks.

Findings

Reduces total energy consumption significantly

Maintains good connectivity between sentinel nodes

Scalable with steady energy use

Abstract

In this paper, we provide an energy efficient self- healing mechanism for Wireless Sensor Networks. The proposed solution is based on our probabilistic sentinel scheme. To reduce energy consumption while maintaining good connectivity between sentinel nodes, we compose our solution on two main concepts, node adaptation and link adaptation. The first algorithm uses node adaptation technique and permits to distributively schedule nodes activities and select a minimum subset of active nodes (sentry) to monitor the interest region. And secondly, we in- troduce a link control algorithm to ensure better connectiv- ity between sentinel nodes while avoiding outliers appearance. Without increasing control messages overhead, performances evaluations show that our solution is scalable with a steady energy consumption. Simulations carried out also show that the proposed mechanism ensures good connectivity between sentry nodes while considerably reducing the total energy spent.