In a computational tour-de-force, this volume wipes away a host of
problems related to location discovery in wireless ad-hoc sensor
networks. WASNs have recognized potential in many applications that are
location-dependent, yet are heavily constrained by factors such as cost
and energy consumption. Their "ad-hoc" nature, with direct rather than
mediated connections between a network of wireless devices, adds another
layer of difficulty.
Basing this work entirely on data-driven, coordinated algorithms, the
author's aim is to present location discovery techniques that are highly
accurate--and which fit user criteria. The research deploys
nonparametric statistical methods and relies on the concept of joint
probability to construct error (including location error) models and
environmental field models. It also addresses system issues such as the
broadcast and scheduling of the beacon. Reporting an impressive accuracy
gain of almost 17 percent, and organized in a clear, sequential manner,
this book represents a stride forward in wireless localization.