Sliding-Mode and Spring-Relaxation-Like Technique for Location Estimation in Wireless Sensor Networks | Zendy

Haiyan Li | Zendy; Yunan Hu | Zendy; Min Zhu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Sliding-Mode and Spring-Relaxation-Like Technique for Location Estimation in Wireless Sensor Networks

Author(s) -

Haiyan Li,

Yunan Hu,

Min Zhu

Publication year - 2012

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2012/283524

Subject(s) - beacon , computer science , wireless sensor network , convergence (economics) , relaxation (psychology) , mode (computer interface) , algorithm , spring (device) , real time computing , wireless , control theory (sociology) , artificial intelligence , telecommunications , computer network , mechanical engineering , psychology , social psychology , control (management) , engineering , economics , economic growth , operating system

In order to reduce the location estimation error in wireless sensor network (WSN), a localization algorithm is proposed combining sliding-mode and spring-relaxation-like techniques for wireless sensor networks in this paper. Our proposed method takes advantage of the spring-relaxation technique. The overall accuracy of the location estimations is improved by sliding-mode technique. The convergence of the proposed algorithm is proved using the convergence conditions of discrete sliding-mode. Moreover, it requires only a few beacons with known locations to compute the location estimations of all sensors. Simulation examples demonstrate the overall accuracy of the proposed method. © 2012 HaiYan Li et al.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research