Paper Info
Title
A New Approach Based on Intelligent Water Drops Algorithm for Node Selection in Service-Oriented Wireless Sensor Networks
Abstract
Issues related to Wireless Sensor Networks (WSNs) are inseparable part of concerns in Big Data, due to they can provide a large amount of real-time data to the processing units. A service-oriented wireless sensor network aims to manage the procedure for data-provision by considering the term \"service\" as a user-specified requirement. In another words, it provides a user-friendly interface for various users with a unified middleware for different types of nodes to access all services smoothly. In the low level framework, one of the major problems is how to automatically select minimum number of nodes, with high data accuracy, to access desired services in the environment. Scholars provide different solutions by magnifying some specific aspects of WSNs. Intelligent Water Drops Algorithm is a new population-based optimization approach under the inspiration of water drops following in rivers which can make optimal or near optimal paths to the lakes or seas. In this paper, IWD algorithm is improved to solve node-selection problem by considering each water drop as an agent which is responsible to find the minimum number of sensor nodes with high data accuracy. Then based on the information from all of the Intelligent Water Drops, a decision function can choose the best solution. Experimental results prove the effectiveness of our approach.
Year
DOI
Venue
2014
10.1109/BDCloud.2014.45
BDCloud
Keywords
Field
DocType
service oriented architecture,accuracy,optimization,wireless sensor networks
Middleware,Data mining,Computer science,Swarm intelligence,Computer network,Distributed computing,Key distribution in wireless sensor networks,Intelligent sensor,Algorithm,Mobile wireless sensor network,Big data,Wireless sensor network,Service-oriented architecture
Conference
Citations 
PageRank 
References 
0
0.34
16
Authors
6
Name
Order
Citations
PageRank
Ahmadreza Vajdi1162.93
Gongxuan Zhang29419.89
Yong-li Wang310726.46
Yang Zhang416421.65
Dongmei Liu520.70
Tianshu Wang6132.67