@conference {
	title = {Minimizing Aggregation Latency under the Physical Interference Model in Wireless Sensor Networks},
	author = {Wang, Baobing., Baras, John S.},
	year = {2012},
	month = {11/2012},
	abstract = {Wireless Sensor Networks (WSNs) have been widely~recognized as a promising technology that can enhance various~aspects of today{\textquoteright}s electric power systems, making them a vital~component of the smart grid. Efficient aggregation of data~collected by sensors is crucial for a successful WSN-based smart~grid application. Existing works on the Minimum Latency Aggregation~Scheduling (MLAS) problem in WSNs usually adopt the~protocol interference model, which is a tremendous simplification~of the physical reality faced in wireless networks. In contrast,~the more realistic physical interference model has been proved~to have the potential to increase the network capacity. In this~paper, we propose a distributed algorithm to minimize the data~aggregation latency under the physical interference model, which~jointly considers routing, power assignment and transmission~scheduling.~},
	address = {Tainan City , Taiwan},
	booktitle = {Third International Conference on Smart Grid Communications (IEEE SmartGridComm 2012)},
	pages = {pp. 19-24}
}
