Rotational Wireless Video Sensor Networks with Obstacle Avoidance Capability for Improving Disaster Area Coverage

Wireless Video Sensor Networks (WVSNs) have become a leading solution in many important applications, such as disaster recovery. By using WVSNs in disaster scenarios, the main goal is achieving a successful immediate response including search, location, and rescue operations. The achievement of such an objective in the presence of obstacles and the risk of sensor damage being caused by disasters is a challenging task. In this paper, we propose a fault tolerance model of WVSN for efficient post-disaster management in order to assist rescue and preparedness operations. To get an overview of the monitored area, we used video sensors with a rotation capability that enables them to switch to the best direction for getting better multimedia coverage of the disaster area, while minimizing the effect of occlusions. By constructing different cover sets based on the field of view redundancy, we can provide a robust fault tolerance to the network. We demonstrate by simulating the benefits of our proposal in terms of reliability and high coverage.

[1]  Ahmed E. Kamal,et al.  Efficient QoS provisioning at the MAC layer in heterogeneous wireless sensor networks , 2014, Comput. Commun..

[2]  M. Amaç Güvensan,et al.  On coverage issues in directional sensor networks: A survey , 2011, Ad Hoc Networks.

[3]  Sriram Chellappan,et al.  Angular Mobility Assisted Coverage in Directional Sensor Networks , 2009, 2009 International Conference on Network-Based Information Systems.

[4]  A. Mostefaoui,et al.  Improving Lifetime and Coverage through Mobile Beacon for High Density Sensor Networks , 2008, 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008).

[5]  Matt Welsh,et al.  Deploying a wireless sensor network on an active volcano , 2006, IEEE Internet Computing.

[6]  Hiroyuki Morikawa,et al.  A high-density earthquake monitoring system using wireless sensor networks , 2007, SenSys '07.

[7]  Chu-Sing Yang,et al.  Distributed Voronoi-Based Self-Redeployment for Coverage Enhancement in a Mobile Directional Sensor Network , 2013, Int. J. Distributed Sens. Networks.

[8]  Ruchuan Wang,et al.  Node correlation clustering algorithm for wireless multimedia sensor networks based on overlapped FoVs , 2013 .

[9]  Yigal Bejerano,et al.  Lifetime and coverage guarantees through distributed coordinate-free sensor activation , 2009, MobiCom '09.

[10]  Jing Li,et al.  A Novel Coverage Enhancement Algorithm for Image Sensor Networks , 2012, Int. J. Distributed Sens. Networks.

[11]  Ian F. Akyildiz,et al.  A survey on wireless multimedia sensor networks , 2007, Comput. Networks.

[12]  Anlong Ming,et al.  A Coverage-Enhancing Method for 3D Directional Sensor Networks , 2009, IEEE INFOCOM 2009.

[13]  Ivan Stojmenovic,et al.  Localized Sensor Area Coverage with Low Communication Overhead , 2008, IEEE Trans. Mob. Comput..

[14]  Weijia Jia,et al.  Connected coverage in wireless networks with directional antennas , 2011, 2011 Proceedings IEEE INFOCOM.

[15]  Minglu Li,et al.  Target-oriented scheduling in directional sensor networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[16]  CongDuc Pham,et al.  Risk-based adaptive scheduling in randomly deployed video sensor networks for critical surveillance applications , 2011, J. Netw. Comput. Appl..

[17]  Ian F. Akyildiz,et al.  A Spatial Correlation Model for Visual Information in Wireless Multimedia Sensor Networks , 2009, IEEE Transactions on Multimedia.

[18]  Huadong Ma,et al.  Some problems of directional sensor networks , 2007, Int. J. Sens. Networks.

[19]  Ai Chen,et al.  Designing localized algorithms for barrier coverage , 2007, MobiCom '07.

[20]  Alhussein A. Abouzeid,et al.  Coverage by directional sensors in randomly deployed wireless sensor networks , 2006, J. Comb. Optim..

[21]  Jian Wang,et al.  Randomized Approach for Target Coverage Scheduling in Directional Sensor Network , 2007, ICESS.

[22]  Jia-li Zheng,et al.  Tree-based backoff protocol for fast RFID tag identification , 2013 .

[23]  Shanshan Li,et al.  Maximal Coverage Scheduling in Randomly Deployed Directional Sensor Networks , 2007, 2007 International Conference on Parallel Processing Workshops (ICPPW 2007).

[24]  Kechar Bouabdellah,et al.  Coverage Enhancement in Wireless Video-Based Sensor Networks with Rotating Capabilities , 2013, Modeling Approaches and Algorithms for Advanced Computer Applications.

[25]  Chih-Hung Tsai,et al.  An Effective Coverage Enhancing Algorithm in Directional Sensor Networks , 2012 .

[26]  Francesca Cuomo,et al.  An Empirical Model of Multiview Video Coding Efficiency for Wireless Multimedia Sensor Networks , 2013, IEEE Transactions on Multimedia.

[27]  Hai Liu,et al.  Maximal Lifetime Scheduling for Sensor Surveillance Systems with K Sensors to One Target , 2006, IEEE Trans. Parallel Distributed Syst..

[28]  Chen Wang,et al.  Minimum Coverage Breach and Maximum Network Lifetime in Wireless Sensor Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[29]  Chu-Sing Yang,et al.  Voronoi-based coverage improvement approach for wireless directional sensor networks , 2014, J. Netw. Comput. Appl..

[30]  Koji Tsukada,et al.  Ubiquitous Earthquake Observation System Using Wireless Sensor Devices , 2008, KES.

[31]  Wenye Wang,et al.  Self-orienting wireless multimedia sensor networks for occlusion-free viewpoints , 2008, Comput. Networks.

[32]  Jacques M. Bahi,et al.  Hilbert mobile beacon for localisation and coverage in sensor networks , 2008, Int. J. Syst. Sci..

[33]  Yi Wang,et al.  Barrier coverage in camera sensor networks , 2011, MobiHoc '11.