A Greedy Scanning Data Collection Strategy for Large-Scale Wireless Sensor Networks with a Mobile Sink

Sensors

Guangjie Han¹  Chuan Zhu¹  Sai Zhang¹  Jinfang Jiang¹  Joel J. P. C. Rodrigues² 

[1] Department of Information and Communication Systems, Hohai University, Changzhou 213000, China;National Institute of Telecommunications (Inatel), Minas Gerais 30000-000, Brazil;

关键词: wireless sensor networks;    data collection;    mobile sink;    greedy scanning;   

DOI  :  10.3390/s16091432

来源: DOAJ

【 摘 要 】

Mobile sink is widely used for data collection in wireless sensor networks. It can avoid ‘hot spot’ problems but energy consumption caused by multihop transmission is still inefficient in real-time application scenarios. In this paper, a greedy scanning data collection strategy (GSDCS) is proposed, and we focus on how to reduce routing energy consumption by shortening total length of routing paths. We propose that the mobile sink adjusts its trajectory dynamically according to the changes of network, instead of predetermined trajectory or random walk. Next, the mobile sink determines which area has more source nodes, then it moves toward this area. The benefit of GSDCS is that most source nodes are no longer needed to upload sensory data for long distances. Especially in event-driven application scenarios, when event area changes, the mobile sink could arrive at the new event area where most source nodes are located currently. Hence energy can be saved. Analytical and simulation results show that compared with existing work, our GSDCS has a better performance in specific application scenarios.

【 授权许可】

Unknown