Paper Info
Title
Energy efficient and fault tolerant distributed algorithm for data aggregation in wireless sensor networks.
Abstract
Mobile Agent (MA) paradigm for data aggregation in wireless sensor networks (WSNs) presents a distributed computing paradigm which has proved its efficiency in comparison to the traditional client–server computing paradigm. In terms of energy consumption and overall time response, MA computing paradigm presents a better alternative. Instead of sending the collected data to the sink as in client/server, MA moves to sensor nodes (SNs) for data collection. For MA, to move among SNs, an itinerary should be planned before the migration. Many approaches have been proposed to solve the problem, but all approaches did not take into consideration the fault tolerance problem, even though WSNs are prone to failure. In this respect, we propose Energy efficient and fault tolerant distributed algorithm for data aggregation in wireless sensor networks (EFTA) to plan the itinerary for MA and another alternative itinerary in case of node(s) failure. Our algorithm adopts a clustering method to group SNs in clusters then plans the itinerary among those clusters efficiently. Also an alternative itinerary based fault tolerance is proposed. Simulation results show that our algorithm performs better than other existing ones.
Year
DOI
Venue
2019
10.1007/s12652-018-0704-8
J. Ambient Intelligence and Humanized Computing
Keywords
Field
DocType
Wireless sensor networks, Data aggregation, Mobile agent, Client–server, Itinerary planning, Minimum spanning tree
Data mining,Efficient energy use,Computer science,Mobile agent,Distributed algorithm,Fault tolerance,Cluster analysis,Data aggregator,Wireless sensor network,Client–server model,Distributed computing
Journal
Volume
Issue
ISSN
10
2
1868-5145
Citations 
PageRank 
References 
4
0.40
25
Authors
3
Name
Order
Citations
PageRank
Mohamed El Fissaoui141.42
Abderrahim Beni Hssane26314.14
Mostafa Saadi3163.07