Paper Info
Title
Collaborative Deployment Optimization and Dynamic Power Management in Wireless Sensor Networks
Abstract
Energy constraint is important issues in wireless sensor networks. This paper proposed a strategy for optimizing the placement of mobile sensor nodes, and energy metric of communication is presented for energy efficiency. The strategy can meet coverage and energy requirements, providing flexibility and adaptability for different energy constraints. Dijkstra's algorithm is utilized to obtain the optimal paths from which energy metric is derived. Dynamic power management is used to optimize the transition of sleep states and serve system energy. Collaborative sensing mechanism is adopted in the network for mobile target tracking. During collaborative tracking procedure, tradeoff between coverage and energy consumption is achieved by optimizing both metrics and adjusting the metric weight of optimization. Simulations of mobile target tracking are executed to verify that energyefficiency is enhanced by deployment optimization strategy and dynamic power management mechanism.
Year
DOI
Venue
2006
10.1109/GCC.2006.36
GCC
Keywords
Field
DocType
energy requirement,collaborative deployment optimization,collaborative tracking procedure,energy consumption,system energy,deployment optimization strategy,energy metric,different energy constraint,energy constraint,wireless sensor networks,dynamic power management,energy efficiency,mobile target tracking,low power electronics,dijkstra s algorithm,mobile communication,dijkstra algorithm,energy efficient,wireless sensor network
Adaptability,Software deployment,Computer science,Efficient energy use,Computer network,Real-time computing,Energy consumption,Wireless sensor network,Mobile telephony,Distributed computing,Low-power electronics,Dijkstra's algorithm
Conference
ISBN
Citations 
PageRank 
0-7695-2694-2
7
0.56
References 
Authors
5
3
Name
Order
Citations
PageRank
Xue Wang127132.46
Junjie Ma214815.24
Sheng Wang3794.08