A significant challenge in the Wireless Sensor Networks (WSN) research field is to find flexible and energy efficient strategies to perform the network setup and configuration to accomplish specified sensing missions. This thesis presents an approach which uses mobile agents to disseminate and allocate sensing missions to the sensor nodes. The addressed problem refers to the selection of appropriate nodes to perform the sensing mission, by using a decentralized approach supported by mobile software agents. Traditional approaches to deal with WSN setup use the pre-planned strategies, which are deliberately modelled, designed and tuned before the network deployment, and thus are not flexible. This thesis presents an alternative approach based on Belief Desire Intention-model agents using JASON, instead of traditional approaches. Simulation results provides evidences that this approach can achieve the goals of a sensing mission setup by decisions autonomously taken by the sensor node, diminishing then the need for communication among the sensor nodes, hence saving energy resources.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hh-16450 |
| Date | January 2011 |
| Creators | Sha, Mao Xuan, Wang, Xi Tao, Zuo, Shu |
| Publisher | Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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