Title :
The strategy of probe station selection of active probing in WSNs
Author :
Hang Zhou ; Yang Yang ; Xuesong Qiu ; Zhipeng Gao
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
In the management of WSNs, the mechanism of fault detection and location based on active probing has been widely applied. The main optimal direction of active probing is to maximize the coverage of nodes in the network by sending minimal set of probes from probe stations. Therefore, before probing, selecting optimizational station set to improve reachable rates of probed nodes has significant influence on detection effect of active probing. In this paper, we propose an optimizational strategy of probe station selection (PSS) by Genetic Algorithm (GA) and achieve the improvement of confirmed achievable rates of probed nodes. Meanwhile, lower runtime cost and more reasonable usage of energy are reached.
Keywords :
fault location; genetic algorithms; probes; telecommunication network management; wireless sensor networks; GA; PSS; WSN; active probing; fault detection; fault location; genetic algorithm; probe station selection; wireless sensor networks; Monitoring; Probes; Runtime; Signal to noise ratio; Sociology; Statistics; Wireless sensor networks; GA; active probing; shadow node; station selection;
Conference_Titel :
Network Operations and Management Symposium (APNOMS), 2014 16th Asia-Pacific
Conference_Location :
Hsinchu
DOI :
10.1109/APNOMS.2014.6996549