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Multisensor Data Fusion in Distributed Sensor Networks Using Mobile Agents

We describe the deployment of mobile agent in Distributed Sensor Networks (DSNs) to form an improved infrastructure for multisensor data fusion. Compared with the traditional client/server paradigm, mobile agent adopts a new computing model: data stay at the local site, while the execution code is moved to the data sites. Mobile-agent-based DSN (MADSN) saves the network bandwidth and provides an effective way to overcome network latency. It is used to integrate preprocessed data located at local sensor nodes. Progressive accuracy can be achieve during the agent migration. We take target classification as an example to show how MADSN supports high performance distributed integration.