Paper Info
Title
An Energy-Aware Service Composition Mechanism in Service-Oriented Wireless Sensor Networks
Abstract
With the wide-adoption of the Internet of Things, heterogeneous smart things, serving as sensor nodes, require to work in a collective fashion for achieving complex applications. To address this challenge, this article proposes a service-oriented wireless sensor networks (WSNs) framework, where sensor nodes are encapsulated and represented as WSN services, which are energy-aware, and typically have constraints on their spatial and temporal aspects. Generally, WSN services are categorized into service classes according to the their functionalities. Consequently, service classes chains are generated with respect to the requirement of domain applications, and the composition of WSN services is constructed through discovering and selecting appropriate WSN services as the instantiation of service classes contained in chains. This WSN services composition is reduced to a multi-objective and multi-constrained optimization problem, which can be solved through adopting particle swarm optimization (PSO) algorithm and genetic algorithm (GA). Experimental evaluation shows that PSO outperforms GA in finding approximately optimal WSN services compositions.
Year
DOI
Venue
2017
10.1109/IEEE.ICIOT.2017.30
2017 IEEE International Congress on Internet of Things (ICIOT)
Keywords
Field
DocType
Energy-Aware,Service Composition,Service-Oriented Wireless Sensor Networks
Middleware,Particle swarm optimization,Key distribution in wireless sensor networks,Computer science,Computer network,Service composition,Energy consumption,Wireless sensor network,Optimization problem,Genetic algorithm,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-2012-0
1
0.36
References 
Authors
16
5
Name
Order
Citations
PageRank
Deng Zhao1246.29
Zhangbing Zhou237255.74
Ke Ning3406.80
Yucong Duan421038.30
Liang-Jie Zhang5982138.17