Title :
Energy-efficient deployment of Intelligent Mobile sensor networks
Author :
Heo, Nojeong ; Varshney, Pramod K.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
Abstract :
Many visions of the future include people immersed in an environment surrounded by sensors and intelligent devices, which use smart infrastructures to improve the quality of life and safety in emergency situations. Ubiquitous communication enables these sensors or intelligent devices to communicate with each other and the user or a decision maker by means of ad hoc wireless networking. Organization and optimization of network resources are essential to provide ubiquitous communication for a longer duration in large-scale networks and are helpful to migrate intelligence from higher and remote levels to lower and local levels. In this paper, distributed energy-efficient deployment algorithms for mobile sensors and intelligent devices that form an Ambient Intelligent network are proposed. These algorithms employ a synergistic combination of cluster structuring and a peer-to-peer deployment scheme. An energy-efficient deployment algorithm based on Voronoi diagrams is also proposed here. Performance of our algorithms is evaluated in terms of coverage, uniformity, and time and distance traveled until the algorithm converges. Our algorithms are shown to exhibit excellent performance.
Keywords :
ad hoc networks; computational geometry; intelligent networks; mobile computing; mobile radio; optimisation; wireless sensor networks; Voronoi diagrams; adhoc wireless networks; ambient intelligent network; energy-efficient deployment; intelligent mobile sensor networks; large-scale networks; peer-to-peer deployment scheme; synergistic combination; ubiquitous communication; Ambient intelligence; Clustering algorithms; Energy efficiency; Intelligent networks; Intelligent sensors; Large-scale systems; Mobile communication; Peer to peer computing; Safety devices; Wireless sensor networks;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/TSMCA.2004.838486