DocumentCode
603189
Title
A multi-agent hybrid protocol for data fusion and data aggregation in non-deterministic wireless sensor networks
Author
Sethi, Preeti ; Chauhan, Naresh ; Juneja, Dimple
Author_Institution
Dept. of Comput. Sci., YMCA Univ. of Sci. & Technol., Faridabad, India
fYear
2013
fDate
9-10 March 2013
Firstpage
211
Lastpage
214
Abstract
Data fusion deals with collaborative in-network processing and gathers relatively accurate information about the events in the environment. Conventional data fusion algorithms when assisted with mobile agent technology shifts computationally intensive tasks to these intelligent units thereby increasing the lifetime of the network. There exist mobile agent based event driven protocols for accumulating and forwarding the information to the sink(base station) eg: Tree-based Itinerary Design [4]. Usually, such protocols either deploy value-based fusion or decision-based fusion but very few are using both at the same time. Moreover, use of multi-agent systems(MAS) in such protocols is still in its infancy. The focus of this work is thus to propose a multi-agent hybrid protocol exploiting the benefits of both value and decision fusion by performing aggregation at the source level in a clustered WSN.
Keywords
mobile agents; multi-agent systems; protocols; sensor fusion; telecommunication computing; wireless sensor networks; MAS; clustered WSN; collaborative in-network processing; data aggregation; data fusion; decision-based fusion; event driven protocol; mobile agent technology; multiagent hybrid protocol; multiagent system; nondeterministic wireless sensor network; value-based fusion; Data integration; Mobile agents; Monitoring; Peer-to-peer computing; Protocols; Wireless communication; Wireless sensor networks; Data Aggregation; Data Fusion; Decision-based Fusion; Multi-Agent system; Value-based Fusion; Wireless Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Systems and Computer Networks (ISCON), 2013 International Conference on
Conference_Location
Mathura
Print_ISBN
978-1-4673-5987-0
Type
conf
DOI
10.1109/ICISCON.2013.6524205
Filename
6524205
Link To Document