Abstract:
Three dimensional wireless sensor networks have been extensively studied due, in part, to their applications in underwater sensing. Often algorithmic solutions to analogo...Show MoreNotes: Due to a production error this article was mistakenly excluded from the original submission to Xplore.
Metadata
Abstract:
Three dimensional wireless sensor networks have been extensively studied due, in part, to their applications in underwater sensing. Often algorithmic solutions to analogous problems in two and three dimensions, respectively, can be significantly different. Though there have been many algorithms proposed for two dimensional sensor movement problems, there are very few in the case of three dimensional networks. In this paper we propose cellular automaton based probabilistic depth adjustment algorithms for sensors in underwater networks. Sensors are initially deployed close to the surface and our main goal is to disperse them vertically to maximize the coverage of the network while maintaining the connectivity. We compare our proposed algorithms for three different pairs of communication (Rc) and sensing (Rs) radii. We find that for Rc = 3 and Rs = 1, our algorithm finds the optimal solution. For the other two pairs the algorithm finds solutions that are reasonably close to the used benchmark solutions.
Notes: Due to a production error this article was mistakenly excluded from the original submission to Xplore.
Published in: 2012 IEEE 9th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2012)
Date of Conference: 08-11 October 2012
Date Added to IEEE Xplore: 11 January 2014
ISBN Information: