| Quality of monitoring of stochastic events by periodic & proportional-share scheduling of sensor coverage |
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International Conference On Emerging Networking Experiments And Technologies
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Proceedings of the 2008 ACM CoNEXT Conference
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Madrid, Spain
Article No. 26
Year of Publication: 2008
ISBN:978-1-60558-210-8
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ABSTRACT
We analyze the quality of monitoring (QoM) of stochastic events by a periodic sensor which monitors a point of interest (PoI) for q time every p time. We show how the amount of information captured at a PoI is affected by the proportion q/p, the time interval p over which the proportion is achieved, the event type, and the stochastic event arrival dynamics and staying times. The periodic PoI sensor schedule happens in two broad contexts. In the case of static sensors, a sensor monitoring a PoI may be periodically turned off to conserve energy, thereby extending the lifetime of the monitoring until the sensor can be recharged or replaced. In the case of mobile sensors, a sensor may move between the PoIs in a repeating visit schedule. In this case, the PoIs may vary in importance, and the scheduling objective is to distribute the sensor's coverage time in proportion to the importance levels of the PoIs. Based on our QoM analysis, we optimize a class of periodic mobile coverage schedules that can achieve such proportional sharing while maximizing the QoM of the total system.
REFERENCES
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V. Cerny. Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm. Journal of Optimization Theory and Applications, 45(1), 1985.
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3
|
|
 |
4
|
|
 |
5
|
Bret Hull , Vladimir Bychkovsky , Yang Zhang , Kevin Chen , Michel Goraczko , Allen Miu , Eugene Shih , Hari Balakrishnan , Samuel Madden, CarTel: a distributed mobile sensor computing system, Proceedings of the 4th international conference on Embedded networked sensor systems, October 31-November 03, 2006, Boulder, Colorado, USA
[doi> 10.1145/1182807.1182821]
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6
|
|
| |
7
|
S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, New Series, 220(4598): 671--680, May 1983.
|
| |
8
|
|
| |
9
|
R. E. Lapp and H. L. Andrews. Nuclear Radiation Physics. Prentice Hall, 1948.
|
| |
10
|
R. W. Lee and J. J. Kulesz. A risk-based sensor placement methodology. Technical report, Computational Sciences and Engineering Division, ORNL, 2006.
|
 |
11
|
Will E. Leland , Murad S. Taqqu , Walter Willinger , Daniel V. Wilson, On the self-similar nature of Ethernet traffic, Conference proceedings on Communications architectures, protocols and applications, p.183-193, September 13-17, 1993, San Francisco, California, United States
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| |
12
|
S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M. B. Srivastava. Coverage problems in wireless ad-hoc sensor networks. In IEEE INFOCOM, 2001.
|
 |
13
|
|
| |
14
|
D. K. Y. Yau, N. K. Yip, C. Y. T. Ma, N. S. Rao, and M. Shankar. Quality of monitoring of stochastic events by proportional-share mobile sensor coverage www.cs.purdue.edu/homes/lans/publications/tr-08-011.pdf. Technical Report 08-011, Purdue University, April 2008.
|
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15
|
H. Zhang and J. C. Hou. Maintaining sensing coverage and connectivity in large sensor networks. Wireless Ad-hoc and Sensor Networks, 1(1--2), January 2005.
|
 |
16
|
Xiaolan Zhang , Jim Kurose , Brian Neil Levine , Don Towsley , Honggang Zhang, Study of a bus-based disruption-tolerant network: mobility modeling and impact on routing, Proceedings of the 13th annual ACM international conference on Mobile computing and networking, September 09-14, 2007, Montréal, Québec, Canada
[doi> 10.1145/1287853.1287876]
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17
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