DocumentCode :
682398
Title :
Dynamic path planning method for anchor node in three-dimensional wireless sensor networks
Author :
Jialiang Lv ; Yinglong Wang ; Nuo Wei ; Huanqing Cui
Author_Institution :
Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technolog, Jinan, China
fYear :
2013
fDate :
23-24 Dec. 2013
Firstpage :
900
Lastpage :
904
Abstract :
Localization constitutes one of the key technologies in wireless sensor networks. In the localization method based on anchor node assistance, the motion path of anchor node exerts huge influence on location performance. With the motion path of anchor node pre-determined, the static path planning fails to make full use of the real-time information during the localization, due to which it can not be applied to the area with unknown deployment and abnormal topology. Resorting to artificial potential field theory, this paper raises a three-dimensional dynamic path planning algorithm of mobile anchor node based on virtual force (3D-VFDPP). By the virtue of real-time calculation of the magnitude of virtual force exerted upon anchor nodes by unknown ones in different areas, this algorithm offers online decision of motion direction to instruct the motion of anchor node. The simulation results show that compared with the typical static planning method, it enjoys a far better effectiveness and universality.
Keywords :
telecommunication network topology; wireless sensor networks; anchor node assistance; artificial potential field theory; online decision; static path planning; three-dimensional dynamic path planning algorithm of mobile anchor node based on virtual force; three-dimensional wireless sensor networks; Dynamics; Force; Heuristic algorithms; Mobile communication; Mobile computing; Path planning; Wireless sensor networks; mobile anchor node; path planning; virtual force; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/IMSNA.2013.6743423
Filename :
6743423
Link To Document :
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