• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Distributed Information Extraction in Wireless Sensor Networks using Multiple Software Agents with Dynamic Itineraries

Vol. 8, No.1, January 29, 2014
10.3837/tiis.2014.01.008, Download Paper (Free):

Abstract

Wireless sensor networks are generally deployed for specific applications to accomplish certain objectives over a period of time. To fulfill these objectives, it is crucial that the sensor network continues to function for a long time, even if some of its nodes become faulty. Energy efficiency and fault tolerance are undoubtedly the most crucial requirements for the design of an information extraction protocol for any sensor network application. However, most existing software agent based information extraction protocols are incapable of satisfying these requirements because of static agent itineraries and large agent sizes. This paper proposes an Information Extraction protocol based on Multiple software Agents with Dynamic Itineraries (IEMADI), where multiple software agents are dispatched in parallel to perform tasks based on the query assigned to them. IEMADI decides the itinerary for an agent dynamically at each hop using local information. Through mathematical analysis and simulation, we compare the performance of IEMADI with a well known static itinerary based protocol with respect to energy consumption and response time. The results show that IEMADI provides better performance than the static itinerary based protocols.


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Cite this article

[IEEE Style]
Govind P. Gupta, Manoj Misra and Kumkum Garg, "Distributed Information Extraction in Wireless Sensor Networks using Multiple Software Agents with Dynamic Itineraries," KSII Transactions on Internet and Information Systems, vol. 8, no. 1, pp. 123-144, 2014. DOI: 10.3837/tiis.2014.01.008

[ACM Style]
Gupta, G. P., Misra, M., and Garg, K. 2014. Distributed Information Extraction in Wireless Sensor Networks using Multiple Software Agents with Dynamic Itineraries. KSII Transactions on Internet and Information Systems, 8, 1, (2014), 123-144. DOI: 10.3837/tiis.2014.01.008