@conference {
	title = {Autonomous Relocation Strategies for Cells on Wheels in Public Safety Networks},
	author = {Rabieekenari, Ladan., Sayrafian, Kamran., Baras, John S.},
	year = {2017},
	month = {01/2017},
	abstract = {Lack of network availability or limited access to~communication services are among the challenges that public~safety officials and first responders could face during disasters~or emergency scenarios. Networking infrastructure can partially~(or sometimes fully) breakdown during a catastrophe. At the~same time, unusual peaks in traffic load could lead to much~higher blocking probability or service interruptions for critical~communication. Lack of adequate communication among emergency~responders or public safety personnel could put many~lives at risks. A possible solution to deal with such scenarios~is through the use of mobile/portable infrastructures commonly~referred to as Cells on Wheels (COW) or Cells on Light~Trucks (COLT). These mobile cells can effectively complement~the existing undamaged infrastructure or enable a temporary~emergency network by themselves. Given the limited capacity of~each cell, variable and spatially non-uniform traffic across the~disaster area can make a big impact on the network performance.~Not only judicious deployment of the cells can help to meet~the coverage and capacity demands across the area, but also~intelligent relocation strategies can optimally match the network~resources to potentially changing traffic demands. Assuming that~each cell can autonomously change its location, in this paper, we~propose a decentralized relocation algorithm that adapts network~coverage in order to increase the supported users traffic. Our~simulations show an average improvement of approximately 35\%~in the supported traffic compared to static uniform deployment.},
	address = {Las Vegas, Nevada},
	booktitle = {The 14th Annual IEEE Consumer Communications \& Networking Conference (CCNC 2017)},
	pages = {pp. 41-44}
}
