Service-oriented generalized WSN lifetime assessment model

被引:0
作者
Liu, Yan-Heng [1 ]
Lu, Ying-Qi [1 ]
Sun, Da-Yang [2 ]
Wang, Ai-Min [1 ]
Ning, Yu [3 ]
机构
[1] College of Computer Science and Technology, Jilin University, Changchun
[2] College of Communication Engineering, Jilin University, Changchun
[3] Beijing Lifting Transportation Machinery Design and Research Institute, Beijing
来源
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2014年 / 44卷 / 06期
关键词
Computer application; Generalized lifetime; Sandwich model; Service-oriented; Wireless sensor networks(WSN);
D O I
10.13229/j.cnki.jdxbgxb201406036
中图分类号
学科分类号
摘要
In this paper, first, the influencing factors of Wireless Sensor Network (WSN) lifetime are summarized. Then, a 4-layer sandwich model for service-oriented WSN lifetime assessment is established. Finally, a generalized lifetime assessment method was proposed. The novelty brought by the sandwich model is that it defines a general lifetime decision criterion, which is suitable for the diverse WSN applications; and it can be used to incorporate their scenario specific requirements into quantitative criteria of lifetime assessment. Compared with existing lifetime assessment model, the generalized assessment method based on 4-layer sandwich model is more flexible, reliable and service-oriented. ©, 2014, Editorial Board of Jilin University. All right reserved.
引用
收藏
页码:1771 / 1777
页数:6
相关论文
共 12 条
[1]  
Soni S., Narottam C., Energy efficient multi-level clustering to prolong the lifetime of wireless sensor networks, Journal of Computing, 2, 5, pp. 158-165, (2010)
[2]  
Yu M., Malvankar A., Foo S.Y., An energy efficient path availability routing algorithm for mobile ad hoc sensor networks, IEEE International Conference on Communications, pp. 1885-1890, (2006)
[3]  
Blough D.M., Santi P., Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks, Proceedings of the 8th Annual International Conference on Mobile Computing and Networking, pp. 183-192, (2002)
[4]  
Champ J., Saad C., Baert A.E., Lifetime in wireless sensor networks, IEEE International Conference on Complex, Intelligent and Software Intensive Systems, pp. 293-298, (2009)
[5]  
Ozgovde A., Ersoy C., WCOT: a utility based lifetime metric for wireless sensor networks, Computer Communications, 32, 2, pp. 409-418, (2009)
[6]  
Xu N., Huang A.-P., Hou T.-W., Et al., Coverage and connectivity guaranteed topology control algorithm for cluster-based wireless sensor networks, Wireless Communications & Mobile Computing, 12, 1, pp. 23-32, (2012)
[7]  
Pak W., Choi Jin G., Bahk S., Duty cycle allocation to maximize network lifetime of wireless sensor networks with delay constraints, Wireless Communications & Mobile Computing, 14, 6, pp. 613-628, (2014)
[8]  
Halatchev M., Gruenwald L., Estimating missing values in related sensor data streams, Proceedings of the 11th International Conference on Management of Data, pp. 83-94, (2005)
[9]  
Jiang N., Gruenwald L., Estimating missing data in data streams, Proceedings of the 12th International Conference on Database Systems for Advanced Applications, pp. 981-987, (2007)
[10]  
Pan L.-Q., Li J.-Z., Luo J.-Z., A temporal and spatial correlation based missing values imputation algorithm in wireless sensor networks, Chinese Journal of Computers, 33, 1, pp. 1-11, (2010)