Tang Chengpei, Shokla Sanesy Kumcr, Modhawar George, Wang Qiang
School of Engineering, Sun Yat-sen University, Guangzhou 510006, China.
Lawrence Berkeley National Laboratory, University of California, Oakland, CA 94612, USA.
Sensors (Basel). 2016 Feb 19;16(2):261. doi: 10.3390/s16020261.
Collaborative strategies for mobile sensor nodes ensure the efficiency and the robustness of data processing, while limiting the required communication bandwidth. In order to solve the problem of pipeline inspection and oil leakage monitoring, a collaborative weighted mobile sensing scheme is proposed. By adopting a weighted mobile sensing scheme, the adaptive collaborative clustering protocol can realize an even distribution of energy load among the mobile sensor nodes in each round, and make the best use of battery energy. A detailed theoretical analysis and experimental results revealed that the proposed protocol is an energy efficient collaborative strategy such that the sensor nodes can communicate with a fusion center and produce high power gain.
移动传感器节点的协作策略可确保数据处理的效率和稳健性，同时限制所需的通信带宽。为了解决管道检测和漏油监测问题，提出了一种协作加权移动感知方案。通过采用加权移动感知方案，自适应协作聚类协议可在每一轮中实现移动传感器节点之间能量负载的均匀分布，并充分利用电池能量。详细的理论分析和实验结果表明，所提出的协议是一种节能协作策略，使传感器节点能够与融合中心进行通信并产生高功率增益。
