Data Store-and-Delivery Approach for Air-Ground Collaborative Wireless Sensor Network

Numerous research works have shown that Wireless Sensor Network (WSN) plays an important role in enabling technology. It has been applied in fields such as agribusiness. The concept of mobile sinks in WSN is to resolve the multihop routing issues of inefficient data collection. This paper uses the Air-Ground Collaborative Wireless Network (AGCWN) mobility models and proposes a Data Store-and-Delivery algorithm with an approach, called Center Tractor Scanning (CTS) that maximizes buffer utilization and battery capacity in data collection. Simulation results show mobile sinks using CTS collect more data per trip as compare to other existing approaches. This study also highlights the importance of maximizing the buffer utilization and battery capacity of mobile sinks, thus improve the efficiency of data collection for WSN.