Survey: Barrier Coverage with Wireless Sensor Networks. Feras Batarseh EEL 6788

Presentation’s Outline  Introduction  Characteristics  Algorithms/ Methodologies  Algorithms Comparison and Complexity  Topologies

Introduction  Wireless network consists of spatially distributed autonomous devices using sensors to monitor physical or environmental conditions.  The development of wireless sensor networks was originally motivated by military applications such as battlefield surveillance.

A look back.. Moats? Walls? Landmines?

WSN Characteristics  More effective.  More efficient.  Covers more areas.  Ability to withstand harsh environmental conditions.  Ability to cope with node failures.  Mobility of nodes.  Dynamic network topology.

Goals  Stealthiness: A sensor network is said to satisfy the stealthiness assumption if no intruder is aware of the locations of the sensors.  k-coverage of a path: A path (i.e. line or curve) is said to be k-covered if every point in it is covered by at least k sensors.

Breach? Intersection point method (IPM) Association Sensors Method (ASM) Probing

IPM  Using polygons to cover an area.  Sensors on polygon edges  Overlapping…bad  Intersecting…bad  Tilling…good  Inside…multiple protection

ASM FOR (each node) { Check Radius of coverage area Check all intersection points of area if diameter is inside other coverage areas of sensors Sensor go to Sleep }//end of loop Optimization protocol to make sure that the coverage of the entire network will not drop early nor fast.

Probing Sleeping nodes wake up periodically and broadcast a probing signal to detect the active sensors in their probing range. If no active sensor is detected, the sensor switches to active state, otherwise the sensor resets its sleep timer and goes back to sleep.

Complexity  IPM: O (k*m*n*m) log (n*m))  ASM: O (n*m^2+n)  Probing: O (n) Where: n is average number of neighbors of a node m is number of nodes k average edges involved in the node

Comparison 1. IPM  Complex  slower algorithm  efficient 2. Probing  Fast  Simple  un necessary power wasted! 3. ACM  Slow  Assumes full power of sensor!

Barrier Sensors Topologies  Disc-based sensing: where each active sensor has a sensing radius of r; any object within the disc of radius r centered at an active sensor is reliably detected by it.  RIS scheme: Time is divided in regular intervals and in each interval, each sensor is active.  Belt of dimension w X h : A rectangular region.

Barrier Sensors Topologies Depends on the shape of the barrier/area to cover.

References 1- Barrier coverage with wireless sensors Barrier coverage with wireless sensorsBarrier coverage with wireless sensors Santosh Kumar, Ten H. Lai, Anish Arora August 2005 MobiCom '05: Proceedings of the 11th annual international conference on Mobile computing and networking 2- Reliable density estimates for coverage and connectivity in thin strips of finite length Paul Balister, Béla Bollobas, Amites Sarkar, Santosh Kumar September 2007 MobiCom '07: Proceedings of the 13th annual ACM international conference on Mobile computing and networking 3- Coverage breach problems in bandwidth-constrained sensor networks Coverage breach problems in bandwidth-constrained sensor networksCoverage breach problems in bandwidth-constrained sensor networks Maggie X. Cheng, Lu Ruan, Weili Wu June 2000 ACM Transactions on Sensor Networks (TOSN), Volume 3 Issue 2 4- Coverage protocols for detecting fully sponsored sensors in wireless sensor networks Coverage protocols for detecting fully sponsored sensors in wireless sensor networksCoverage protocols for detecting fully sponsored sensors in wireless sensor networks Azzedine Boukerche, Xin Fei October 2006 PE-WASUN '06: Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks 5- Results on coverage for finite wireless networks Results on coverage for finite wireless networksResults on coverage for finite wireless networks Woei Ling Leow, Hossein Pishro-Nik August 2007 IWCMC '07: Proceedings of the 2007 international conference on Wireless communications and mobile computing

References 2 6- Designing localized algorithms for barrier coverage Ai Chen, Santosh Kumar, Ten H. Lai September 2007 MobiCom '07: Proceedings of the 13th annual ACM international conference on Mobile computing and networking 7- Multi-Agent Simulation For Assessing Massive Sensor Deployment CAPT Sean E. Hynes, USMC, and Neil C. Rowe July 2004 Journal of Battlefield Technology, Vol. 7, No. 2, July 2004, Constraint Coverage for Mobile Sensor Networks S Poduri, GS Sukhatme April 2004 Robotics and Automation. Proceedings. ICRA'04 9- Overload traffic management for sensor networks Overload traffic management for sensor networksOverload traffic management for sensor networks Chieh-Yih Wan, Shane B. Eisenman, Andrew T. Campbell, Jon Crowcroft October 2007 ACM Transactions on Sensor Networks (TOSN), Volume 3 Issue The self-protection problem in wireless sensor networks The self-protection problem in wireless sensor networksThe self-protection problem in wireless sensor networks Dan Wang, Qian Zhang, Jiangchuan Liu October 2007 ACM Transactions on Sensor Networks (TOSN), Volume 3 Issue 4

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