Title :
Understanding the Limits of RF-Based Collaborative Localization
Author :
Giorgetti, Gianni ; Gupta, Sandeep Kumar S ; Manes, Gianfranco
Author_Institution :
IMPACT Lab., Arizona State Univ., Tempe, AZ, USA
Abstract :
RF-based localization has gained popularity as a low-cost solution to support position awareness in ad hoc networks. The received signal strength (RSS) measured by pairs of nodes can be used to obtain either range estimates or connectivity information. It is not clear, however: 1) when a range-based scheme should be used in favor of a connectivity-based one, and 2) how to optimally convert the RSS into connectivity data. This paper uses analysis of the Fisher information and the Cramér-Rao bound (CRB) to answer these questions. Solutions are found by comparing the network connectivity against two values: the critical connectivity (CC) and the optimal connectivity (OC). After discussing the properties of both values, we show how their approximation can be used to improve the performance of RF-based localization systems.
Keywords :
ad hoc networks; mobility management (mobile radio); Cramer Rao bound; Fisher information; RF based collaborative localization; ad hoc networks; critical connectivity; low cost solution; optimal connectivity; position awareness; received signal strength; Collaboration; Computational modeling; Maximum likelihood estimation; Peer to peer computing; Position measurement; Random variables; Shadow mapping; Connectivity; Cramér–Rao bound (CRB); Fisher information; localization; ranging; received signal strength (RSS); signal strength;
Journal_Title :
Networking, IEEE/ACM Transactions on
DOI :
10.1109/TNET.2011.2141681
