The effects of wireless communication failures on group behavior of mobile sensors

In social groups, complex group behavior often emerges from the local interaction among simple individuals. Throughout this study, we assume that individuals can access information by way of wireless communication. In this case, individuals are able to exchange accurate information with each other as long as wireless communication links between them are allowed. Subsequently, we propose a consensus decision-making model for studying the consistency of group behavior considering both the wireless communication range and the probability of successful communication. Our simulation results show the following conclusions: i consistency of the group behavior is absolutely achieved, when the wireless communication range is large enough and the probability of successful communication p=1; ii when the wireless communication range is large enough, the consistency of the group behavior is still achieved as long as p is bigger than some small constant; and iii the law in iii remains applicable when the number of individuals in the group changes. Therefore, one may infer that consistency of group behavior in mobile sensors is much more related to the extent of distribution of obtainable information than the amount of information, where the extent of distribution of obtainable information means that each individual can obtain information from wider area or from those individuals who are not only in its local area. Copyright © 2012 John Wiley & Sons, Ltd.

[1]  Fan Zhang,et al.  Comparative performance and energy consumption analysis of different AES implementations on a wireless sensor network node , 2011, Int. J. Sens. Networks.

[2]  Ilaria Giordani,et al.  Querying sensor data for environmental monitoring , 2011, Int. J. Sens. Networks.

[3]  Yoonmee Doh,et al.  PLUS: parameterised localised trust management-based security framework for sensor networks , 2008, Int. J. Sens. Networks.

[4]  Jelena V. Misic,et al.  Performance implications of periodic key exchanges and packet integrity overhead in an 802.15.4 beacon enabled cluster , 2008, Int. J. Sens. Networks.

[5]  Jiming Chen,et al.  Dynamic priority scheduling-based MAC for wireless sensor networks , 2007, Int. J. Sens. Networks.

[6]  R. Solé,et al.  Are network motifs the spandrels of cellular complexity? , 2006, Trends in ecology & evolution.

[7]  Franco Zambonelli,et al.  Landslide monitoring with sensor networks: experiences and lessons learnt from a real-world deployment , 2011, Int. J. Sens. Networks.

[8]  Pascal Lorenz,et al.  A service differentiation and traffic engineering scheme for mobile ad hoc networks , 2008, Int. J. Sens. Networks.

[9]  Junan Lu,et al.  Adaptive synchronization of an uncertain complex dynamical network , 2006, IEEE Transactions on Automatic Control.

[10]  Mohamed F. Younis,et al.  Coverage and latency aware actor placement mechanisms in WSANs , 2008, Int. J. Sens. Networks.

[11]  Victor C. M. Leung,et al.  Reliable data transport and congestion control in wireless sensor networks , 2007, Int. J. Sens. Networks.

[12]  Hsi-Lu Chao,et al.  A fault-tolerant routing protocol in wireless sensor networks , 2008, Int. J. Sens. Networks.

[13]  Yang Xiao,et al.  IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, PAPER ID: TPDS-0307-0605.R1 1 Random Coverage with Guaranteed Connectivity: Joint Scheduling for Wireless Sensor Networks , 2022 .

[14]  Yang Xiao,et al.  Spectrum sensing in cognitive radio sensor networks: towards ultra low overhead, distributed channel findings , 2008, Int. J. Sens. Networks.

[15]  Rong Zheng,et al.  Event-driven sensor deployment using self-organizing maps , 2008, Int. J. Sens. Networks.

[16]  Craig W. Reynolds Flocks, herds, and schools: a distributed behavioral model , 1998 .

[17]  Athanasios V. Vasilakos,et al.  Stochastic event capturing with a single mobile robot in rectangular perimeters , 2013, Telecommun. Syst..

[18]  Xiaojiang Du,et al.  Weaving a proper net to catch large objects in wireless sensor networks , 2010, IEEE Transactions on Wireless Communications.

[19]  Kenneth P. Birman,et al.  SENSTRAC: Scalable Querying of SENSor Networks from Mobile Platforms Using TRACking-Style Queries , 2006, 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[20]  Shanzhong Zhu,et al.  PERT: a new power-efficient real-time packet delivery scheme for sensor networks , 2008, Int. J. Sens. Networks.

[21]  Yang Xiao,et al.  Primate-Inspired Communication Methods for Mobile and Static Sensors and RFID Tags , 2011, TAAS.

[22]  Victor C. M. Leung,et al.  Connection data rate optimisation of IEEE 802.15.3 scatternets with multirate carriers , 2008, Int. J. Sens. Networks.

[23]  Yang Xiao,et al.  A critical line based boundary surveillance strategy in wireless sensor networks , 2013, Telecommun. Syst..

[24]  Abdulmotaleb El-Saddik,et al.  ACM/Springer Mobile Networks and Applications (MONET) , 2008, Mob. Networks Appl..

[25]  I. Couzin,et al.  Effective leadership and decision-making in animal groups on the move , 2005, Nature.

[26]  Yang Xiao,et al.  Primate social systems, scent-marking and their applications in mobile and static sensor networks , 2009, Int. J. Sens. Networks.

[27]  Gerhard P. Hancke,et al.  Actor coordination using info-gap decision theory in wireless sensor and actor networks , 2011, Int. J. Sens. Networks.

[28]  Guanrong Chen,et al.  Chaos synchronization of general complex dynamical networks , 2004 .

[29]  Yu-Chee Tseng,et al.  Message-efficient in-network location management in a multisink wireless sensor network , 2008, Int. J. Sens. Networks.

[30]  Vicsek,et al.  Novel type of phase transition in a system of self-driven particles. , 1995, Physical review letters.

[31]  Jie Wu,et al.  Impacts of sensor node distributions on coverage in sensor networks , 2011, J. Parallel Distributed Comput..

[32]  Nael B. Abu-Ghazaleh,et al.  Aligned virtual coordinates for greedy geometric routing in WSNs , 2008, Int. J. Sens. Networks.

[33]  Yang Xiao,et al.  Error Analysis and Kernel Density Approach of Scheduling Sleeping Nodes in Cluster-Based Wireless Sensor Networks , 2009, IEEE Transactions on Vehicular Technology.

[34]  Dhiraj K. Pradhan,et al.  Fault-tolerant de-Bruijn graph based multipurpose architecture and routing protocol for wireless sensor networks , 2011, Int. J. Sens. Networks.

[35]  Mercedes Pascual,et al.  Computational Ecology: From the Complex to the Simple and Back , 2005, PLoS Comput. Biol..

[36]  Min Chen,et al.  Architecture and protocol design for a pervasive robot swarm communication networks , 2011, Wirel. Commun. Mob. Comput..

[37]  J. Toner,et al.  Flocks, herds, and schools: A quantitative theory of flocking , 1998, cond-mat/9804180.

[38]  Kenneth P. Birman,et al.  SENSTRAC: scalable querying of sensor networks from mobile platforms using tracking-style queries , 2008, Int. J. Sens. Networks.

[39]  Ying Zhang,et al.  Coverage and Detection of a Randomized Scheduling Algorithm in Wireless Sensor Networks , 2010, IEEE Transactions on Computers.

[40]  Andreas Terzis,et al.  Minimising the effect of WiFi interference in 802.15.4 wireless sensor networks , 2007, Int. J. Sens. Networks.

[41]  Yunhao Liu,et al.  MOCUS: moving object counting using ultrasonic sensor networks , 2008, Int. J. Sens. Networks.

[42]  David Hung-Chang Du,et al.  Improved n 1-cover discovery using perimeter coverage information , 2008, Int. J. Sens. Networks.

[43]  Yuanyuan Yang,et al.  Priority-based opportunistic MAC protocol in IEEE 802.11 WLANs , 2008, Int. J. Sens. Networks.

[44]  Vehbi C. Gungor,et al.  Efficient available energy monitoring in wireless sensor networks , 2007, Int. J. Sens. Networks.

[45]  Liang Chen,et al.  Local asymptotic coherence of time-varying discrete ecological networks , 2009, Autom..

[46]  Kevin McCann,et al.  Structural asymmetry and the stability of diverse food webs , 2006, Nature.

[47]  Mihaela Cardei,et al.  Energy-efficient connected-coverage in wireless sensor networks , 2008, Int. J. Sens. Networks.

[48]  Abbas Jamalipour,et al.  Effect of route diversity by employing turbo coding in multihop ad hoc and mesh networks , 2008, Int. J. Sens. Networks.

[49]  Sanjay Jha,et al.  The impact of fading and shadowing on the network performance of wireless sensor networks , 2008, Int. J. Sens. Networks.

[50]  Cormac J. Sreenan,et al.  Cross-layer routing and time synchronisation in wireless sensor networks , 2011, Int. J. Sens. Networks.

[51]  Yang Xiao,et al.  Divide- and conquer-based surveillance framework using robots, sensor nodes, and RFID tags , 2011, Wirel. Commun. Mob. Comput..

[52]  Ning Zhong,et al.  Minimum-cost sensor arrangement for achieving wanted coverage lifetime , 2008, Int. J. Sens. Networks.

[53]  Daizhan Cheng,et al.  Characterizing the synchronizability of small-world dynamical networks , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

[54]  Yang Xiao,et al.  Bio-inspired visual attention in agile sensing for target detection , 2009, Int. J. Sens. Networks.

[55]  Guang Jin,et al.  UDC: a self-adaptive uneven clustering protocol for dynamic sensor networks , 2007, Int. J. Sens. Networks.

[56]  Xiaohua Jia,et al.  Coverage problems in wireless sensor networks: designs and analysis , 2008, Int. J. Sens. Networks.

[57]  I. Couzin,et al.  Emerging collective behaviors of animal groups , 2008, 2008 7th World Congress on Intelligent Control and Automation.

[58]  S. Strogatz Exploring complex networks , 2001, Nature.

[59]  Yang Xiao,et al.  The effect of leaders on the consistency of group behaviour , 2012, Int. J. Sens. Networks.

[60]  Daisuke Takahashi,et al.  Wireless telemedicine and m-health: technologies, applications and research issues , 2011, Int. J. Sens. Networks.

[61]  Guanrong Chen,et al.  A time-varying complex dynamical network model and its controlled synchronization criteria , 2005, IEEE Transactions on Automatic Control.

[62]  R. Solé,et al.  Ecological networks and their fragility , 2006, Nature.

[63]  N. Mermin,et al.  Absence of Ferromagnetism or Antiferromagnetism in One- or Two-Dimensional Isotropic Heisenberg Models , 1966 .

[64]  Yang Xiao,et al.  Studying Bio-Inspired Coalition Formation of Robots for Detecting Intrusions Using Game Theory , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[65]  Sunil Kumar,et al.  An energy-aware and intelligent cluster-based event detection scheme in wireless sensor networks , 2008, Int. J. Sens. Networks.

[66]  Xiaomei Zhang,et al.  ATBAS: an efficient fair bandwidth allocation approach for multihop wireless ad hoc network , 2008, Int. J. Sens. Networks.

[67]  M. Hagberg Editorial , 2004 .

[68]  Yang Xiao,et al.  A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks , 2006, Mob. Networks Appl..

[69]  Haibin Yu,et al.  Error compensation algorithm in wireless sensor networks synchronisation , 2011, Int. J. Sens. Networks.