Paper Info
Title
Energy Aware Hybrid Scheme of Client-Server and Mobile Agent Models for Data Aggregation in Wireless Sensor Networks.
Abstract
In wireless sensor networks, the most commonly used model for data aggregation is client-server; where each node send its collected data to the sink. With the growing size of the network this model become inefficient, because of the huge amount of the data that should be processed to the sink, therefore mobile agent model present a good alternative to the traditional client-server model. In this model a mobile code migrate to the source nodes to collect data. It has been proven that planning itinerary for the mobile agent is a NP-Hard problem. In this paper, we present a hybrid scheme of client-server and mobile agent. At first we organize nodes in clusters, then select a node at the center as cluster head that will be responsible of clusters' data collection, after that we plan the itinerary among those cluster heads using minimum spanning tree, then dispatch the mobile agent to collect data from cluster heads. Simulations results show that our novel proposed scheme perform better in comparison to the existing schemes.
Year
DOI
Venue
2016
10.1007/978-3-319-52941-7_23
PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS 2016)
Keywords
Field
DocType
Wireless sensor networks,Client-Server,Mobile agent,Itinerary planning,Minimum spanning tree,Data aggregation
Key distribution in wireless sensor networks,Data collection,Computer science,Mobile agent,Computer network,Mobile wireless sensor network,Wireless sensor network,Data aggregator,Client–server model,Distributed computing,Minimum spanning tree
Conference
Volume
ISSN
Citations 
552
2194-5357
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Mohamed El Fissaoui141.42
Abderrahim Beni Hssane26314.14
Mostafa Saadi300.34