January 25, 2006
HPWREN-supported UCSD Master's student Daeseob Lim graduated with his "Distributed Proxy-Layer Scheduling in Heterogeneous Wireless sensor Networks" thesis
Heterogeneous wireless sensor networks, such as HPWREN, have significant challenges with competing QoS needs from different applications, excessive contention between wireless nodes, insufficient network throughput capacity, and battery lifetime. A graduate student researcher supported by HPWREN, Daeseob Lim, recently finished his UCSD Master's degree thesis on a distributed hybrid multi-cell scheduling algorithm for heterogeneous wireless sensor networks that addresses these issues. Tajana Simunic Rosing, UCSD professor in the Department of Electrical & Computer Engineering was his thesis advisor and committee chair.
The scheduling algorithm consists of two parts; cell-level scheduling and node-level scheduling. The cell-level scheduling algorithm decides which cells are active so that the interference between active cells is reduced drastically. Node-level scheduling algorithm decreases the contention among wireless nodes by limiting the number of active nodes accessing a wireless channel. By combining these two scheduling algorithms, we measure a throughput improvement of up to 10.31% and maximum power savings of 85.54%.
Tajana Simunic Rosing
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