TY - GEN
T1 - Performance analysis of stochastic network coverage with limited mobility
AU - Ma, Chris Y.T.
AU - Yau, David K.Y.
AU - Yip, Nung Kwan
AU - Rao, Nageswara S.V.
AU - Chen, Jiming
PY - 2009
Y1 - 2009
N2 - We analyze the ability of a stochastic coverage algorithm to achieve both accurate threat-based coverage and effective information capture. When mobile sensors are used to cover the region over time, the goal of threat-based coverage is to allocate the sensors' coverage time between the subregions in proportion to their threat levels. We show that, in contrast to prior results on mobile coverage for maximizing simple event capture, limiting mobility by strategically pausing the sensor is important for threat-based coverage ofphysical world monitoring. Besides being energy efficient, pausing has two desirable effects. First, it can improve the accuracy of the threat-based coverage, in particular, the accuracy increases monotonically with a pause time parameter, and a large enough parameter will ensure exact matching ofthe sensor's coverage profile with the region's threat profile. Second, diverse natural phenomena require a non-negligible sensing time to overcome statistical uncertainties posed by the random nature of the phenomena. Suitable pausing allows a subregion to be observed long enough for reliable results.
AB - We analyze the ability of a stochastic coverage algorithm to achieve both accurate threat-based coverage and effective information capture. When mobile sensors are used to cover the region over time, the goal of threat-based coverage is to allocate the sensors' coverage time between the subregions in proportion to their threat levels. We show that, in contrast to prior results on mobile coverage for maximizing simple event capture, limiting mobility by strategically pausing the sensor is important for threat-based coverage ofphysical world monitoring. Besides being energy efficient, pausing has two desirable effects. First, it can improve the accuracy of the threat-based coverage, in particular, the accuracy increases monotonically with a pause time parameter, and a large enough parameter will ensure exact matching ofthe sensor's coverage profile with the region's threat profile. Second, diverse natural phenomena require a non-negligible sensing time to overcome statistical uncertainties posed by the random nature of the phenomena. Suitable pausing allows a subregion to be observed long enough for reliable results.
UR - http://www.scopus.com/inward/record.url?scp=74249109070&partnerID=8YFLogxK
U2 - 10.1109/MOBHOC.2009.5336963
DO - 10.1109/MOBHOC.2009.5336963
M3 - Conference contribution
AN - SCOPUS:74249109070
SN - 9781424451135
T3 - 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09
SP - 496
EP - 505
BT - 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09
T2 - 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09
Y2 - 12 October 2009 through 15 October 2009
ER -