Paper Info
Title
Experience Based Sink Placement In Mobile Wireless Sensor Network
Abstract
In some applications of wireless sensor networks (WSN), sensor nodes are mobile while the sinks are static. In such dynamic environment, situations may arise where many sensor nodes are forwarding data through the same sink node resulting in sink overloading. One of the obvious effects of sink overloading is packet loss. It also indirectly affects the network lifetime in loss-sensitive WSN applications. Therefore, proper placement of sinks in such dynamic environment has a great impact on the performance of WSN applications. Multiple sink placement may not also work in some situations as node density may not be uniform. This paper introduces a sink placement scheme that aims at gathering experiences about sensor node density in a region at different times and based on these observations, the scheme proposes candidate sink locations in order to reduce sink overloading. Next, based upon current sensor node density pattern, sinks at these locations are scheduled to active mode, while sinks at remaining candidate locations are scheduled to sleep mode. The second phase is repeated periodically. The scheme is implemented in a simulation environment and compared with another well-known strategy, namely Geographic Sink Placement (GSP). It has been observed that the proposed scheme exhibits better performance with respect to sink overloading and packet loss in comparison with GSP.
Year
DOI
Venue
2015
10.1109/CCGrid.2015.57
2015 15TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING
Keywords
Field
DocType
Dynamic Wireless Sensor Networks, Mobile Sensor Nodes, Multiple Sink Placement, Experience Gathering, Node Density
Sensor node,Mobile computing,Key distribution in wireless sensor networks,Computer science,Packet loss,Computer network,Mobile wireless sensor network,Sleep mode,Wireless sensor network,Sink (computing),Distributed computing
Conference
ISSN
Citations 
PageRank 
2376-4414
0
0.34
References 
Authors
8
3
Name
Order
Citations
PageRank
Subhra Banerjee100.34
Suman Sankar Bhunia2186.40
Nandini Mukherjee316829.88