An analytical framework for identifying redundant sensor nodes from a dense sensor network

Abstract

Redundant node deployment has an impact on network lifetime because redundant nodes consume excess energy by performing unnecessary repetitious tasks. A distributed node redundancy identification method, called Self-Calculated Redundancy Check (SCRC), is proposed to eliminate redundant tasks. A grid is assumed over the field to help each node to calculate its own redundancy by checking the coverage degree of its sensing region. This optimises the active node set while providing complete network coverage and connectivity. An analytical framework is presented for SCRC using the expected value optimisation technique. The framework is used to predict potentially redundant nodes under various node distributions.