A high-available and location predictive data gathering scheme with mobile sinks for wireless sensor networks

The use of mobile sinks in a wireless sensor network can effectively improve network performance. However, if a mobile sink fails, the entire network performance will be seriously affected. In this paper, we propose a high-available and location predictive data gathering scheme with mobile sinks to address the mentioned issue. Namely, sensor nodes can calculate the current location of mobile sinks based on time synchronization, and the network could still work normally if some of the mobile sinks fail. Considering the energy consumption of nodes in different areas, a moving trajectory adjusting strategy is also proposed to balance energy consumption among the nodes in the network. Simulation results show that the proposed data gathering scheme has better performance than the existing schemes.