Balancing Energy Consumption With Mobile Agents in Wireless Sensor Networks
For Wireless Sensor Networks (WSNs), unbalanced energy consumption will decrease the lifetime of network. In this paper, the authors leverage mobile agent technology to investigate the problem of how to balance the energy consumption during data collection in WSNs. They first demonstrate that for a sensor network with uniform node distribution and constant data reporting, balancing the energy of the whole network cannot be realized when the distribution of data among sensor nodes is unbalanced. They design a method to mitigate the uneven energy dissipation problem by controlling the mobility of agents, which is achieved by an energy prediction strategy to find their positions. Finally, they propose Energy Balancing cluster routing based on a Mobile Agent (EBMA) for WSNs.