A Greedy Scanning Data Collection Strategy for Large-Scale Wireless Sensor Networks with a Mobile Sink.
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.
Department of Information and Communication Systems, Hohai University, Changzhou 213000, China. dr.river.zhu@gmail.com.
Chuan
C
Zhu
Department of Information and Communication Systems, Hohai University, Changzhou 213000, China. zhangsai1991@gmail.com.
Sai
S
Zhang
Department of Information and Communication Systems, Hohai University, Changzhou 213000, China. hanguangjie@gmail.com.
Guangjie
G
Han
Department of Information and Communication Systems, Hohai University, Changzhou 213000, China. jiangjinfang@hhu.edu.cn.
Jinfang
J
Jiang
National Institute of Telecommunications (Inatel), Minas Gerais 30000-000, Brazil. joeljr@ieee.org.|The Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã 6200-062, Portugal. joeljr@ieee.org.|The University ITMO, St. Petersburg 190000, Russia. joeljr@ieee.org.
Joel J P C
JJ
Rodrigues
data collection; greedy scanning; mobile sink; wireless sensor networks