ABSTRACT
We propose and evaluate an energy-efficient scheduling algorithm for detection of mobile targets in wireless sensor networks. We consider a setting where the sensors are deployed for both road surveillance and mobile target tracking. A typical example would be where some sensors are deployed along the entrance roads of a city to detect the vehicles entering the city and other sensors can wake up and track the vehicles after detection. We show an important relationship between the overall energy consumed by the sensors and the average detection time of a target, both of which are very critical aspects in our problem. To this end, we define the quality of surveillance (QoSv)as the reciprocal value of the average detection time for vehicles. We propose an optimal scheduling algorithm that guarantees the detection of every target with specified QoSv and at the same time minimizes the overall energy consumed by the sensor nodes. By minimizing the energy consumed, we maximize the lifetime of the sensor network. Also, along with the quality of surveillance guarantee, we ensure that no target goes undetected. We theoretically derive the upper bound on the lifetime of the sensor network for a given QoSv guarantee and prove that our method can always achieve this upper bound. Our simulation results validate the claims made on the algorithm optimality and QoSv guarantee.
- S. Meguerdichian and M. Potkonjak,"Low Power 0/1 Coverage and Scheduling Techniques in Sensor Networks", UCLA Technical Report No.030001, January 2003.Google Scholar
- S. Meguerdichian et al. "Coverage Problems in Wireless Ad-hoc Sensor Networks", IEEE INFOCOM April 2001.Google Scholar
- J. O'Rourke, "Computational Geometry Column 15", International Journal of Computational Geometry and Applications Vol.2, pp. 215--217,June 1992.Google ScholarCross Ref
- C-F. Huang and Y-C. Tseng, "The Coverage Problem in a Wireless Sensor Network", ACM WSNA September 2003. Google ScholarDigital Library
- X. Wang et al. "Integrated Coverage and Connectivity Configuration in Wireless Sensor Networks", ACM SENSYS November 2003. Google ScholarDigital Library
- B. Chen et al. "Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks", ACM MOBICOM July 2001. Google ScholarDigital Library
- H. Zhang and J. C. Hou, "Maintaining Sensing Coverage and Connectivity in Large Sensor Networks", Ad Hoc and Sensor Wireless Networks Vol.1, pp. 89--124 Old City Publishing, Inc., March 2005.Google Scholar
- S. Shakkottai, R. Srikant and N. Shroff, "Unreliable Sensor Grids: Coverage, Connectivity, and Diameter", IEEE INFOCOM April 2003.Google Scholar
- T. Yan, T. He, and J. A. Stankovic, "Differentiated Surveillance for Sensor Networks", ACM SENSYS 2003. Google ScholarDigital Library
- F. Ye et al. "PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks", IEEE ICDCS May 2003. Google ScholarDigital Library
- C. Gui and P. Mohapatra, "Power Conservation and Quality of Surveillance in Target Tracking Sensor Networks", ACM MOBICOM September 2004. Google ScholarDigital Library
- S. Kumar, T. Lai and A. Arora, "Barrier Coverage With Wireless Sensors", ACM MOBICOM August 2005. Google ScholarDigital Library
- M. H. DeGroot and M. J. Schervish, "Probability and Statistics (3rd Edition)", Addison Wesley October 2001.Google Scholar
- M. H. MacDougall, "Simulating Computer Systems: Techniques and Tools", MIT Press 1987. Google ScholarDigital Library
- J. Jeong, S. Sharafkandi and D. Du, "Energy-Aware Scheduling with Quality of Surveillance Guarantee in Sensor Networks", Technical Report of University of Minnesota No. 06-021, June 2006: http://www.cs.umn.edu/research/technicalreports.php/?page=year&year=2006Google ScholarDigital Library
Index Terms
- Energy-aware scheduling with quality of surveillance guarantee in wireless sensor networks
Recommendations
Quality of Surveillance Measures in K-Covered Heterogeneous Wireless Sensor Networks
ICPPW '10: Proceedings of the 2010 39th International Conference on Parallel Processing WorkshopsHeterogeneous Wireless Sensor Networks, in which the deployed sensors have different capacities, are gradually used to perform critical surveillance in real world. For conserving energy, powerful sensors are usually activated only when an event is ...
Algorithms for balancing energy consumption in wireless sensor networks
FOWANC '08: Proceedings of the 1st ACM international workshop on Foundations of wireless ad hoc and sensor networking and computingProlonging the lifetime of network is one of the most important designing objectives in wireless sensor networks (WSNs). Keeping up the uniform energy consumption of various sensor nodes is an efficient approach to prolong the lifetime of WSNs. This ...
TTS: a two-tiered scheduling mechanism for energy conservation in wireless sensor networks
In this paper, we present a two-tiered scheduling approach for effective energy conservation in wireless sensor networks. The effectiveness of this mechanism relies on dynamically updated two-tiered scheduling architecture. We aim to prolong network ...
Comments