Mobile Sensor movement using Simulated Annealing
Abstract
Movement of mobile sensor nodes is an important aspect in wireless sensor networks,
and there is considerable research underway into the design of mobile sensor movement
algorithms for wireless sensor networks. Various mobile sensor movement algorithms have
been proposed using different combinatorial optimization techniques such as Tahu Search,
Ant Colony Optimization, and Genetic Algorithms. In this paper we present a mobile
sensor movement Algorithm for Heterogenenous Sensor Networks using a Simulated
annealing search technique. This paper also discusses the various factors that are taken into
account while making a decision about the movement of a mobile sensor node in the event
of a sensor node failure. With the help of Simulated annealing, a Movement Algorithm is
proposed with an Annealing schedule that is suitable for Heterogeneous Sensor Networks,
and its performance is evaluated for various sensor deployment scenarios in
Heterogenenous Sensor Networks.