ABSTRACT
A wireless sensor network (WSN) is an ad hoc communication network that consists of a large number of small, low-cost, low-energy sensors with limited processing capability. WSN localization has emerged as a very important and a most intensively studied issue and sparked a considerable amount of innovative research. This chapter deals with compressive sensing (CS) principles in view of the localization/tracking application under consideration assuming centralized localization. It describes distributed gradient descent (GD) localization in WSNs employing distributed averaging gossip algorithms, and at the same time introduces CS to this scenario for achieving energy-efficient target tracking. WSN energy efficiency has been achieved in the context of centralized moving target tracking by using CS. The GD localization problem is very well tailored to distributed computing such as the distributed localization technique proposed in Nuha A. S. Alwan and A. S. Mahmood with the aim of achieving resilience against node and link failures.
