| Adaptive Barrier Coverage Using Software Defined Sensor Networks | |
Kong LH(孔令和); Lin SY(林思雨); Xie, Weiliang; Qiao, Xiaoyu; Jin X(金曦) ; Zeng P(曾鹏); Ren, Wanli; Liu, Xiao-Yang
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| Department | 工业控制网络与系统研究室 |
| Source Publication | IEEE Sensors Journal
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| ISSN | 1530-437X |
| 2016 | |
| Volume | 16Issue:20Pages:7364-7372 |
| Indexed By | SCI ; EI |
| EI Accession number | 20164202912608 |
| WOS ID | WOS:000384701400008 |
| Contribution Rank | 4 |
| Funding Organization | China Post-Doctoral Science Foundation under Grant 2014M560334 and Grant 2015T80433, in part by the National Natural Science Foundation of China under Grant U1534201, Grant 61501023, Grant 61303202, and Grant U1334202, in part by the Fundamental Research Funds for the Central Universities under Grant 2015RC032, and in part by the State Key Laboratory of Rail Traffic Control and Safety under Grant RCS2015K011. |
| Keyword | Wireless Sensor Networks Mobile Computing Barrier Coverage |
| Abstract | This paper investigates the adaptive barrier coverage system in wireless sensor networks, where multiple mobile sensor nodes collaboratively move based on cloud computing. This system aims to adaptively maintain a barrier coverage surrounding a dynamic zone, such as nuclear leakage area and toxic gas area. Since such a zone is usually dangerous and invisible, it is necessary to monitor and track its boundary for detecting unwanted people nearby and warning them. Existing studies on mobile barrier coverage mainly focus on static zones, which cannot directly apply into dynamic zones because their movement strategies are not flexible with dynamics. To address such a problem, we propose a novel adaptive barrier coverage system. The challenge is to effectively maintain the barrier when the change of dynamic zone is unpredictable. The proposed system leverages the software defined concept, in which the mobile sensor nodes execute the local sensing tasks and the cloud computes the real-time optimal strategy to control the movements of nodes. Extensive simulations based on large-scale real trace demonstrate the efficiency and the efficacy of the proposed system. |
| Language | 英语 |
| WOS Headings | Science & Technology ; Technology ; Physical Sciences |
| WOS Subject | Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied |
| WOS Keyword | SURFACE COVERAGE ; DEPLOYMENT ; MOBILITY ; 5G |
| WOS Research Area | Engineering ; Instruments & Instrumentation ; Physics |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.sia.cn/handle/173321/19272 |
| Collection | 工业控制网络与系统研究室 |
| Corresponding Author | Lin SY(林思雨) |
| Affiliation | 1.Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China 2.School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China 3.Technology Innovation Center, China Telecom Corporation Ltd., Beijing, 102209, China 4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| Recommended Citation GB/T 7714 | Kong LH,Lin SY,Xie, Weiliang,et al. Adaptive Barrier Coverage Using Software Defined Sensor Networks[J]. IEEE Sensors Journal,2016,16(20):7364-7372. |
| APA | Kong LH.,Lin SY.,Xie, Weiliang.,Qiao, Xiaoyu.,Jin X.,...&Liu, Xiao-Yang.(2016).Adaptive Barrier Coverage Using Software Defined Sensor Networks.IEEE Sensors Journal,16(20),7364-7372. |
| MLA | Kong LH,et al."Adaptive Barrier Coverage Using Software Defined Sensor Networks".IEEE Sensors Journal 16.20(2016):7364-7372. |
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| File Name/Size | DocType | Version | Access | License | ||
| Adaptive Barrier Cov（1500KB） | 期刊论文 | 作者接受稿 | 开放获取 | ODC PDDL | View Application Full Text | |
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