Title
Adaptive learning assisted routing in Wireless Sensor Network using Multi Criteria Decision model
Abstract
Wireless Sensor Network (WSN) is one of the most demanding research topics prevalent in the modern research domain. WSN consists of densely deployed sensor nodes in the area which is to be sensed or monitored. Every tiny sensor node needs to transmit the sensed data to more powerful sink nodes. Sensed data may reach sink node through multiple hops. As the sensor nodes are resource constrained, most of the data forwarding algorithms employ threshold values of key parameters and implement event driven routes. Instead, we consider multiple parameters simultaneously for determining route to send the data to sink. In this paper, we propose routing scheme using Multi Criteria Decision Making technique where each criterion is assigned with a weight. An adaptive learning method is used to determine the weights. This routing scheme ensures robust packet reception ratio.
Year
DOI
Venue
2014
10.1109/ICACCI.2014.6968354
Advances in Computing, Communications and Informatics
Keywords
DocType
Citations 
Internet,decision making,telecommunication network routing,wireless sensor networks,adaptive learning assisted routing,multicriteria decision making,multicriteria decision model,sensed data,sink nodes,wireless sensor network,Multi criteria decision model,Routing,WSN
Conference
1
PageRank 
References 
Authors
0.37
1
3
Name
Order
Citations
PageRank
Suman Sankar Bhunia1101.90
Sarbani Roy210427.97
Nandini Mukherjee316829.88