TY - GEN
T1 - A high throughput load balance algorithm for multichannel wireless sensor networks
AU - Song, Min
AU - Zhao, Yanxiao
AU - Wang, Jun
AU - Park, E. K.
PY - 2009
Y1 - 2009
N2 - Achieving efficient bandwidth utilization in multichannel sensor networks is a challenging research problem. In this paper, we present a cognitive load balance algorithm for single-hop multi-channel sensor networks. Based on the load distribution of all base stations, our algorithm dynamically alternates the communication channels. As a result, the extra load from over-loaded channels is directed to under-loaded channels with a computed switch probability. In this paper, we also prove that a high throughput can be achieved if the load is balanced. The performance of the load balance algorithm is evaluated through both theoretical analysis and simulation study.
AB - Achieving efficient bandwidth utilization in multichannel sensor networks is a challenging research problem. In this paper, we present a cognitive load balance algorithm for single-hop multi-channel sensor networks. Based on the load distribution of all base stations, our algorithm dynamically alternates the communication channels. As a result, the extra load from over-loaded channels is directed to under-loaded channels with a computed switch probability. In this paper, we also prove that a high throughput can be achieved if the load is balanced. The performance of the load balance algorithm is evaluated through both theoretical analysis and simulation study.
UR - http://www.scopus.com/inward/record.url?scp=70449502017&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449502017&partnerID=8YFLogxK
U2 - 10.1109/ICC.2009.5198616
DO - 10.1109/ICC.2009.5198616
M3 - Conference contribution
AN - SCOPUS:70449502017
SN - 9781424434350
T3 - IEEE International Conference on Communications
BT - Proceedings - 2009 IEEE International Conference on Communications, ICC 2009
T2 - 2009 IEEE International Conference on Communications, ICC 2009
Y2 - 14 June 2009 through 18 June 2009
ER -