DocumentCode
2758354
Title
Multi-Agent System for Directed Diffusion in Wireless Sensor Networks
Author
Malik, Haroon ; Shakshuki, Elhadi ; Dewolf, Travis ; Denko, Mieso K.
Author_Institution
Jodrey Sch. of Comput. Sci., Acadia Univ., Wolfville, NS
Volume
2
fYear
2007
fDate
21-23 May 2007
Firstpage
635
Lastpage
640
Abstract
This paper presents an agent based system to increase the life time of node in Wireless Sensor Networks. In environment where node density is massive, placement is heterogeneous and lot of sensory traffic with redundancy is produced; individual nodes waste limited wireless bandwidth and consume lot of energy. This minimizes their life time on the network. Directed diffusion paradigm for distributed sensing of the environment has stated to deal with the phenomenon. Directed diffusion approach is data centric in that all communication is for named data. All the nodes in the directed diffusion are application aware and achieve energy saving by choosing good paths and processing data in-network. We unmitigated our efforts to augment the node life time in sensor network by introducing mobile agents. Mobile agents can be used to greatly reduce the communication cost, especially over low bandwidth links, by moving the processing function to the data rather than bringing the data to a central processor (sink). Toward this end, we propose an agent based directed diffusion approach.
Keywords
bandwidth allocation; mobile agents; multi-agent systems; telecommunication computing; telecommunication traffic; wireless sensor networks; agent based system; bandwidth links; central processor; directed diffusion paradigm; mobile agents; multiagent system; node density; redundancy; sensory traffic; wireless bandwidth; wireless sensor networks; Bandwidth; Energy consumption; Energy efficiency; Mobile agents; Mobile communication; Multiagent systems; Network servers; Routing protocols; Telecommunication traffic; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on
Conference_Location
Niagara Falls, Ont.
Print_ISBN
978-0-7695-2847-2
Type
conf
DOI
10.1109/AINAW.2007.260
Filename
4224175
Link To Document