TY - GEN
T1 - Energy-efficient localization for mobile sensor networks based on RSS and historical information
AU - Zhang, Yongtao
AU - Cui, Lingguo
AU - Chai, Senchun
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/17
Y1 - 2015/7/17
N2 - Existing localization algorithms for mobile sensor networks are mostly based on the Sequential Monte Carlo (SMC) localization method. However, these methods usually suffer from low sampling efficiency. So some algorithms try to reduce the sampling area by employing position relationship with neighbor common nodes. But such algorithms need high communication cost and significantly shorten the network life time. In order to solve the energy problem and improve localization accuracy, in this paper, we proposed a new energy-efficient algorithm based on Received Signal Strength (RSS), distance and direction of the moving anchor nodes and Monte Carlo localization (MCL), so the algorithm is called RDMCL. RDMCL derives three methods based on the number of nodes' one-hop neighbor anchors to build a more effective sampling area. Simulation results show that our algorithm indeed improve localization accuracy and save energy cost of network.
AB - Existing localization algorithms for mobile sensor networks are mostly based on the Sequential Monte Carlo (SMC) localization method. However, these methods usually suffer from low sampling efficiency. So some algorithms try to reduce the sampling area by employing position relationship with neighbor common nodes. But such algorithms need high communication cost and significantly shorten the network life time. In order to solve the energy problem and improve localization accuracy, in this paper, we proposed a new energy-efficient algorithm based on Received Signal Strength (RSS), distance and direction of the moving anchor nodes and Monte Carlo localization (MCL), so the algorithm is called RDMCL. RDMCL derives three methods based on the number of nodes' one-hop neighbor anchors to build a more effective sampling area. Simulation results show that our algorithm indeed improve localization accuracy and save energy cost of network.
KW - Mobile sensor networks
KW - localization
KW - sequential monte carlo
UR - http://www.scopus.com/inward/record.url?scp=84945558928&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2015.7162860
DO - 10.1109/CCDC.2015.7162860
M3 - Conference contribution
AN - SCOPUS:84945558928
T3 - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
SP - 5246
EP - 5251
BT - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th Chinese Control and Decision Conference, CCDC 2015
Y2 - 23 May 2015 through 25 May 2015
ER -
