Energy Aware Self-Organizing Density Management in Wireless Sensor Networks

TL;DR

This paper introduces SAND, a decentralized, adaptive topology management scheme for wireless sensor networks that significantly extends network lifetime by optimizing energy use while maintaining sensing and routing functions.

Contribution

The paper presents SAND, a novel self-organizing density management algorithm that enhances energy efficiency and network longevity in wireless sensor networks.

Findings

SAND extends network lifetime significantly across various densities.

The scheme slightly increases path lengths but maintains data fidelity.

Simulation results validate the effectiveness of SAND.

Abstract

Energy consumption is the most important factor that determines sensor node lifetime. The optimization of wireless sensor network lifetime targets not only the reduction of energy consumption of a single sensor node but also the extension of the entire network lifetime. We propose a simple and adaptive energy-conserving topology management scheme, called SAND (Self-Organizing Active Node Density). SAND is fully decentralized and relies on a distributed probing approach and on the redundancy resolution of sensors for energy optimizations, while preserving the data forwarding and sensing capabilities of the network. We present the SAND's algorithm, its analysis of convergence, and simulation results. Simulation results show that, though slightly increasing path lengths from sensor to sink nodes, the proposed scheme improves significantly the network lifetime for different neighborhood densities degrees, while preserving both sensing and routing fidelity.