Title :
Dynamic load-based multi-node repositioning for mobile sensor network
Author :
Khan, Muhammad Amir ; Hasbullah, Halabi ; Nazir, Babar
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
Abstract :
In collecting data, mobile sensor networks will be highly determined by an inter-sensor connectivity. Here, the nodes of these networks will not just act to supervise some diverse regions of an interest area but, more than that, also globally overview several supervised events. An occurrence of a network separation is likely possible when connectivity is missing for the breakdown of a sensor. Some approaches have today been aimed to reposition the nodes for a connectivity reinstatement Nevertheless, the possibility for the missing coverage in certain areas unfortunately seems to be ignored in these approaches. It might be caused by their own failure or connectivity merely emphasized on the recovery. In turn, this paper is purposively to concern with the integration of connectivity and coverage. It furthermore presents a method to repositioning multi-nodes based on a novel dynamic load, at this point by involving one or multiple neighbors of the simultaneously failed node to recovering from the failure. It is initially by relocating each of neighbors to replace the failed node before returning back into its original place. Hence, the irregular connectivity and the monitoring of spots previously covered can occur. The validation of the proposed algorithm will be conducted by a simulation.
Keywords :
failure analysis; mobile radio; telecommunication network reliability; wireless sensor networks; WSN; dynamic load-based multinode repositioning; failure recovery; intersensor connectivity; mobile sensor network; network separation; spot monitoring; wireless sensor networks; Computational modeling; Lead; Monitoring; Receivers; Wireless communication; Wireless sensor networks; Wireless Sensor Networks(WSN); failure recovery; mobile sensors; network connectivity; node relocation;
Conference_Titel :
Computer & Information Science (ICCIS), 2012 International Conference on
Conference_Location :
Kuala Lumpeu
Print_ISBN :
978-1-4673-1937-9
DOI :
10.1109/ICCISci.2012.6297137