Detection performances in radar sensor networks using LEACH and HEED

Abstract

Clustering performances by low energy adaptive clustering hierarchy (LEACH) and hybrid energy-efficient distributed clustering approach (HEED) are compared in radar sensor networks for the first time to the best of our knowledge. In the target detection performances, we also compare the constant threshold approach (CTH) with the constant false alarm rate (CFAR) approach for both LEACH and HEED. The optimal fusion rule is investigated based on fading channels. Monte Carlo simulations show that compared to LEACH, HEED not only prolongs the lifetime of ad-hoc RSN, but also improves target detection performances at moderate-to-high SNR for different CFARs.