Deploying mobile software agents for distributed data mining on wireless sensor networks: a comparative analysis

R. Nagarajan, A. Cuzzocrea, M. Gaber

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, we investigate the deployment of mobile software agents in the field of distributed data mining in wireless sensor networks. The paper provides a survey of various current mobile software agents based Distributed Data Mining systems like BODHI, PADMA, Papyrus, JAM, InfoSleuth and DKN and discusses their salient features. Flexibility and autonomy of mobile software agents make them a suitable tool for software deployment in wireless sensor networks. We then discuss the deployment of mobile software agents on two popular sensor architectures Crossbow Mica2 motes and Sun SPOT. The limitation of the Sun SPOT environment in supporting mobile software agents due to the absence of serializable interface on Sun SPOTs is discussed. The common pitfalls while deploying mobile software agents using Agilla agent framework on Crossbow motes are also discussed.
Original languageEnglish
Pages1179-1185
Number of pages7
Publication statusPublished - 2012
EventIEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI 2012) - Athens, Greece
Duration: 7 Nov 20129 Nov 2012

Conference

ConferenceIEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI 2012)
Country/TerritoryGreece
CityAthens
Period7/11/129/11/12

Fingerprint

Dive into the research topics of 'Deploying mobile software agents for distributed data mining on wireless sensor networks: a comparative analysis'. Together they form a unique fingerprint.

Cite this