Evasion paths in mobile sensor networks

被引:25
|
作者
Adams, Henry [1 ]
Carlsson, Gunnar [2 ]
机构
[1] Duke Univ, Durham, NC 27708 USA
[2] Stanford Univ, Stanford, CA 94305 USA
来源
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
Mobile sensor networks; coverage; pursuit-evasion; homology; zigzag persistence; fibrewise embeddings; COVERAGE; TARGET;
D O I
10.1177/0278364914548051
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Suppose that ball-shaped sensors wander in a bounded domain. A sensor does not know its location but does know when it overlaps a nearby sensor. We say that an evasion path exists in this sensor network if a moving intruder can avoid detection. In Coordinate-free coverage in sensor networks with controlled boundaries via homology', Vin de Silva and Robert Ghrist give a necessary condition, depending only on the time-varying connectivity data of the sensors, for an evasion path to exist. Using zigzag persistent homology, we provide an equivalent condition that moreover can be computed in a streaming fashion. However, no method with time-varying connectivity data as input can give necessary and sufficient conditions for the existence of an evasion path. Indeed, we show that the existence of an evasion path depends not only on the fibrewise homotopy type of the region covered by sensors but also on its embedding in spacetime. For planar sensors that also measure weak rotation and distance information, we provide necessary and sufficient conditions for the existence of an evasion path.
引用
收藏
页码:90 / 104
页数:15
相关论文
共 50 条
  • [21] Flocking based sensor deployment in mobile sensor networks
    Tu, Zhiliang
    Wang, Qiang
    Qi, Hairong
    Shen, Yi
    COMPUTER COMMUNICATIONS, 2012, 35 (07) : 849 - 860
  • [22] The optimization of sensor relocation in wireless mobile sensor networks
    Wang, Chu-Fu
    Lee, Chun-Chia
    COMPUTER COMMUNICATIONS, 2010, 33 (07) : 828 - 840
  • [23] No Regret Learning for Sensor Relocation in Mobile Sensor Networks
    Li, Jin
    Zhang, Chi
    Liu, Wei Yi
    Yue, Kun
    INFORMATION COMPUTING AND APPLICATIONS, 2011, 7030 : 216 - +
  • [24] Incremental algorithm for finding disjoint paths in sensor networks
    Zhang, Ke-Jia
    Gao, Hong
    Tongxin Xuebao/Journal on Communications, 2010, 31 (9 A): : 59 - 67
  • [25] An autonomous method for aggregating and repairing paths in sensor networks
    Inoue, Shinji
    Masuda, Noriyuki
    Kakuda, Yoshiaki
    EIGHTH INTERNATIONAL SYMPOSIUM ON AUTONOMOUS DECENTRALIZED SYSTEMS, PROCEEDINGS, 2007, : 526 - +
  • [26] Temporal Paths in Real-World Sensor Networks
    Bollen, Erik
    Kuijpers, Bart
    Soliani, Valeria
    Vaisman, Alejandro
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 13 (02)
  • [27] Communication Techniques for Mobile Sensor Networks
    Kanzaki, Akimitsu
    Nishio, Shojiro
    2014 28TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA), 2014, : 221 - 226
  • [28] Mobile multimedia in wireless sensor networks
    Silva, Ricardo
    Silva, Jorge Sa
    Caldeira, Joao Manuel L. P.
    Rodrigues, Joel J. P. C.
    INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2012, 11 (01) : 3 - 9
  • [29] Redeployment for Mobile Wireless Sensor Networks
    Fan, Weihong
    Zhang, Hengyang
    Cai, Xuanping
    Liu, Yunhui
    2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4, 2008, : 396 - +
  • [30] Collaborative Mobile Charging for Sensor Networks
    Zhang, Sheng
    Wu, Jie
    Lu, Sanglu
    9TH IEEE INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR SYSTEMS (MASS 2012), 2012, : 84 - 92