文献类型：会议论文

英文题名：Efficient scheduling strategy for data collection in delay-tolerant wireless sensor networks with a mobile sink

作者：Chen, Zhansheng[1,2]; Shen, Hong[3,4]; Zhao, Xiaofan[5]; Wang, Tingmei[2]

第一作者：Chen, Zhansheng;陈战胜

通讯作者：Chen, Zhansheng

机构：[1] School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China; [2] School of Applied Science and Technology, Beijing Union University, Beijing, China; [3] School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China; [4] School of Computer Science, University of Adelaide, Adelaide, Australia; [5] People’s Public Security University of China, Beijing, China

第一机构：School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

会议论文集：Parallel and Distributed Computing, Applications and Technologies - 19th International Conference, PDCAT 2018, Revised Selected Papers

会议日期：August 20, 2018 - August 22, 2018

会议地点：Jeju Island, Korea, Republic of

语种：英文

外文关键词：Computer aided software engineering - Energy efficiency - Energy utilization - Power management (telecommunication) - Scheduling - Trajectories - Wireless sensor networks

摘要：Wireless sensor networks based on mobile sink (MS) can significantly alleviate the problem of network congestion and energy hole, but it results in large delay because of restriction of moving speed and lead to the loss of data due to the limited communication time. In this paper, a grid-based efficient scheduling and data gathering scheme (GES-DGS) is proposed for maximizing the amount of data collected and reducing energy consumption simultaneously within the delay of network tolerance. The main challenges of our scheme are how to optimize the trajectory and the sojourn times of MS and how to deliver the sensed data to MS in an energy-efficient way. To deal with the above problems, we first divide the monitoring field into multiple grids and construct the hop gradient of each grid. Second, we design a heuristic rendezvous point selection strategy to determine the trajectory of MS and devise a routing protocol based on hops and energy. With extensive simulation, we demonstrate that GES-DGS scheme not only significantly extends network lifespan compared with MS-based data gathering schemes, but also pro-actively adapts to the changes in delay in specific applications. ? Springer Nature Singapore Pte Ltd. 2019.