Energy-Efficient Collaborative Data Collection in Mobile Wireless Sensor Networks

sensing coverage of huge areas by deploying mobile entities to collect sensing data from the static sensors and aggregate to the access points. Comparing with static WSN, such network can provide low cost, high throughput, large scale sensing coverage. However, data collection in mobile WSN strongly relies on the movement of the mobiles. Sensing data may not be collected effectively due to the limitation of the mobiles. In this paper, we introduce an energy efficient Collaborative Communication (CC) in WSN to ensure effective data collection in mobile WSN. Experiments on real taxi trajectories of 27; 000 taxis in the Beijing city show that energy efficient CC decrease the energy consumption of the urban sensing network in Beijing comparing with individual communication, with an ensurance of data collection ratio larger than 80%. Index Terms—Energy Efficient Collaborative Communication, effective data collection probability, mobile Wireless Senso