Title :
Dense wireless sensor networks with mobile sinks
Author :
Song, Liang ; Hatzinakos, Dimitrios
Author_Institution :
Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
We propose to develop wireless sensor networks with mobile sinks (MSSN), under high sensor node density, where multiple sensor nodes need to share one single communication channel in the node-to-sink transmission. Under the guideline of trading network energy consumption for the successfully retrieved packets, optimal and suboptimal transmission scheduling algorithms, which exhibit exponential and linear complexity respectively, are discussed under the desired application. The computer simulations show that the suboptimal algorithms perform nearly as good as the optimal one.
Keywords :
computational complexity; optimisation; power consumption; scheduling; wireless sensor networks; communication channel; dense wireless sensor networks; exponential complexity; linear complexity; mobile sinks; network energy consumption; node-to-sink transmission; optimal transmission scheduling; suboptimal transmission scheduling; Application software; Communication channels; Delay; Energy consumption; Global Positioning System; Guidelines; Intelligent sensors; Scheduling algorithm; Wireless networks; Wireless sensor networks;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415800