TY - GEN
T1 - Sensor networks routing via Bayesian exploration
AU - Hao, Shuang
AU - Wang, Ting
PY - 2006/12/1
Y1 - 2006/12/1
N2 - There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Since information concerning these constraints are unknown in an environment, a reinforcement learning approach is proposed to solve this problem. To this end, we deploy a Bayesian method to offer good balance between exploitation and exploration. It estimates the benefit of exploration by value of information therefore avoids the error-prone process of parameter tuning which usually requires human intervention. Experimental results have shown that this approach outperforms the widely-used Q-routing method.
AB - There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Since information concerning these constraints are unknown in an environment, a reinforcement learning approach is proposed to solve this problem. To this end, we deploy a Bayesian method to offer good balance between exploitation and exploration. It estimates the benefit of exploration by value of information therefore avoids the error-prone process of parameter tuning which usually requires human intervention. Experimental results have shown that this approach outperforms the widely-used Q-routing method.
UR - http://www.scopus.com/inward/record.url?scp=46149086783&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46149086783&partnerID=8YFLogxK
U2 - 10.1109/LCN.2006.322207
DO - 10.1109/LCN.2006.322207
M3 - Conference contribution
AN - SCOPUS:46149086783
SN - 1424404185
SN - 9781424404186
T3 - Proceedings - Conference on Local Computer Networks, LCN
SP - 954
EP - 955
BT - Proceedings - The 31st IEEE Conference on Local Computer Networks, LCN 2006
T2 - 31st Annual IEEE Conference on Local Computer Networks, LCN 2006
Y2 - 14 November 2006 through 16 November 2006
ER -