ABSTRACT
This chapter presents the system model for cooperative centralized network localization. It considers a Wireless sensor network with m anchors and n nodes in a two-dimensional environment. The chapter examines different classifications of localization algorithms, in terms of processing, distance measurements, cooperation, and the goal of localization task. Location awareness is of great importance in many surveillance, commercial, and governmental applications. Localization can be performed in a non-cooperative or cooperative manner. In cooperative methods, the informative elements collaborate to improve the estimation precision. Localization accuracy is bounded due to noise, fading, shadowing, and multipath propagation. In centralized localization, every node sends ranging measurements to a central processing unit that runs the localization algorithm. The distributed localization is well suited because the problem is naturally decentralized, and nodes are distributed in the space. A practical and promising solution to address the need for high-accuracy algorithms is cooperative localization, where agents cooperate and share their information regarding the target.
