Multiple Mobile Target Tracking in Wireless Sensor Networks

被引:1
作者
Lersteau, Charly [1 ]
Sevaux, Marc [1 ]
Rossi, Andre [1 ]
机构
[1] Univ Bretagne Sud, Lab STICC, Ctr Rech, F-921165632 Lorient, France
来源
SWARM INTELLIGENCE BASED OPTIMIZATION (ICSIBO 2014) | 2014年 / 8472卷
关键词
Multiple target tracking; Wireless sensor networks; Life-time maximization; Energy consumption minimization; ALGORITHM;
D O I
10.1007/978-3-319-12970-9_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An object tracking sensor network (OTSN) is made of m static wireless sensors scattered throughout a geographical area for tracking n mobile targets. Assuming that sensors have non-rechargeable batteries, one of the most critical aspects of OTSN is energy consumption. In this paper, we propose linear programming models which handle two missions : monitoring and reporting data to a base station, and two distinct problems : minimize energy consumption and maximize network lifetime. We suppose that trajectories of targets are known and targets should be monitored by sensors. To reach our goals, we schedule the active and sleep states of the sensors and route the data to a base station while keeping track of the targets. To solve our problems, we process a temporal discretization according to the intersection points between the trajectories and the sensing ranges of the sensors. The obtained sets of sensors for each time window help us to create linear programming models. These basic problems offer perspectives in performance evaluation of energy-conservation protocols and distributed algorithms in wireless sensor networks.
引用
收藏
页码:123 / 130
页数:8
相关论文
共 9 条
[1]   Power efficient monitoring management in sensor networks [J].
Berman, P ;
Calinescu, G ;
Shah, C ;
Zelikovsky, A .
2004 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-4: BROADBAND WIRELESS - THE TIME IS NOW, 2004, :2329-2334
[2]  
Li ZH, 2009, IEEE CIRCUITS AND SYSTEMS INTERNATIONAL CONFERENCE ON TESTING AND DIAGNOSIS, P1
[3]   An Efficient Lagrangean Relaxation-based Object Tracking Algorithm in Wireless Sensor Networks [J].
Lin, Frank Yeong-Sung ;
Lee, Cheng-Ta .
SENSORS, 2010, 10 (09) :8101-8118
[4]   General Maximal Lifetime Sensor-Target Surveillance Problem and Its Solution [J].
Liu, Hai ;
Chu, Xiaowen ;
Leung, Yiu-Wing ;
Jia, Xiaohua ;
Wan, Peng-Jun .
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2011, 22 (10) :1757-1765
[5]  
Nadeem M., 2013, J PEDIAT ENDOCRINOL, P1
[6]   Survey of mobile object tracking protocols in Wireless Sensor Networks: a network-centric perspective [J].
Naderan, Marjan ;
Dehghan, Mehdi ;
Pedram, Hossein ;
Hakami, Vesal .
INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2012, 11 (01) :34-63
[7]  
Ramya K., 2012, INT J COMPUTER SCI E, V3
[8]   Column generation algorithm for sensor coverage scheduling under bandwidth constraints [J].
Rossi, Andre ;
Singh, Alok ;
Sevaux, Marc .
NETWORKS, 2012, 60 (03) :141-154
[9]  
Slijepcevic S, 2001, 2001 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-10, CONFERENCE RECORD, P472, DOI 10.1109/ICC.2001.936985