Spatial correlation-based mobile agent routing algorithm in wireless sensor networks

Wireless Sensor Networks (WSN) are mainly characterized by dense deployment of sensor nodes. Due to the spatial correlation between sensor nodes and constrained resources of nodes, Spatial Correlation-based Mobile Agent Routing (SCMAR) algorithm is proposed to exploit such correlation for the realization of advanced efficient Mobile Agent routing protocol in order to estimate the event with energy efficient way. The theoretical framework of SCMAR is developed to suppress redundancy information collection under a distortion constraint for reducing the energy consumption without compromising the estimated reliability achieved at the sink. Finally, Simulation results show that SCMAR achieves better performance than existing Mobile Agent Routes for Data Fusion (MARDF) routing algorithm from perspectives of energy consumption in a variety of correlated data gathering applications.