The Multi Agent System Solutions for Wireless Sensor Network Applications
This research proposes to employ multi-agent system solutions to the applications concerning with the wireless sensor network environment. It realizes the multi-agent community by combined use of intelligent sensors and middle agent architecture. Intellig
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Abstract. This research proposes to employ multi-agent system solutions to the applications concerning with the wireless sensor network environment. It realizes the multi-agent community by combined use of intelligent sensors and middle agent architecture. Intelligent sensor nodes exploit as autonomous agents which monitor the events at the environment. Directory facilitator or middle agent is used as a yellow pages directory for the agent look ups and treat the ad hoc sensor network as an agent community. For retrieving the data from the target nodes, mobile software agent is used for energy saving manner. Simulation results have approved that using multi-agent system solution is highly suitable to access and distribute sensory data efficiently and timely manner.
1 Introduction Wireless sensor networks have emerged as a new monitoring and control solution for a variety of applications. Due to the small dimensions, sensor nodes have strong hardware and software restrictions in terms of processing power, memory capability, power supply and communication throughput. The energy is the most critical restriction, given that it is typically not rechargeable. Many applications are using this technology in many areas such as habitual monitoring, environmental monitoring, home monitoring and military explorations, etc. This research focuses on the event monitoring applications in which, the system needs to detect dynamic environment and adapt to the situation and present information that is relevant to it. Due to the energy restriction, sensor information should not be broadcast over all network nodes. Transmitting in a sensor network should be performed to nodes that can be of benefit by that specific information. Since decisions should be made by the network reactively regarding to the changes of an environment, employing intelligent system approaches are preferable. Intelligent sensors can interact with their environment reactively, and therefore they adapt well to such continuous changes. When system presumes to response the user’s requests, results information should be collected within the areas which have the active events. In order to reduce the energy consumption in data collection, reduction in redundancy of transmitted data is also important. In the wireless sensor network, the source nodes are closed to one another at the environment and generate a lot of sensory data traffic with redundancy. Therefore, only the aggregated data should be used to reduce the energy consumption in the transmissions. There is a need for N.T. Nguyen et al. (Eds.): KES-AMSTA 2008, LNAI 4953, pp. 454–463, 2008. © Springer-Verlag Berlin Heidelberg 2008
The Multi Agent System Solutions for Wireless Sensor Network Applications
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mechanism for advertising, finding, fusing the information of the active areas. To address these issues, middle agents are proposed. Middle agents are entities that assist in locating the ultimate information providers with the ultimate requesters in the dynamic environment. Many different types of middle a
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