Abstract
An exact and explicit expression is derived for the network coverage intensity in the presence of clock asynchrony. The expression involves the well known Lauricella function of type A. Its accuracy is compared with the most recently known bound/approximation for the network coverage intensity. A new better approximation for the network coverage intensity is also proposed.
References
Choi W., Das S. K. (2006) Coverage-adaptive random sensor scheduling for application-aware data gathering in wireless sensor networks. Computer Communications 29: 3467–3482
Mourikis A. I., Roumeliotis S. I. (2006) Optimal sensor scheduling for resource-constrained localization of mobile robot formations. IEEE Transactions on Robotics 22: 917–931
He Y., Chong E. K. P. (2006) Sensor scheduling for target tracking: A Monte Carlo sampling approach. Digital Signal Processing 16: 533–545
Kreucher C., Blatt D., Hero A., Kastellab K. (2006) Adaptive multi-modality sensor scheduling for detection and tracking of smart targets. Digital Signal Processing 16: 546–567
Patan M. (2006) Optimal activation policies for continuous scanning observations in parameter estimation of distributed systems. International Journal of Systems Science 37: 763–775
Clarkson I. V. L., El–Mahassni E. D., Howard S. D. (2006) Sensor scheduling in electronic support using Markov chains. IEE Proceedings—Radar Sonar and Navigation 153: 325–332
Chhetri, A. S., Morrell, D., & Papandreou–Suppappola, A. (2006). Nonmyopic sensor scheduling and its efficient implementation for target tracking applications. EURASIP Journal on Applied Signal Processing, Art. No. 31520.
Liu C., Wu K., Xiao Y., Sun B. (2006) Random coverage with guaranteed connectivity: Joint scheduling for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems 17: 562–575
Gupta V., Chung T. H., Hassibi B., Murray R. M. (2006) On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage. Automatica 42: 251–260
Ren S. S., Li Q., Wang H. N., Chen X., Zhang X. D. (2005) Analyzing object detection quality under probabilistic coverage in sensor networks. Lecture Notes in Computer Science 3552: 107–122
Gage A., Murphy R. R. (2004) Sensor scheduling in mobile robots using incomplete information via min-conflict with happiness. IEEE Transactions on Systems Man and Cybernetics Part B—Cybernetics 34: 454–467
Krishnamurthy V. (2002) Algorithms for optimal scheduling and management of Hidden Markov model sensors. IEEE Transactions on Signal Processing 50: 1382–1397
Evans J., Krishnamurthy V. (2001) Optimal sensor scheduling for hidden Markov model state estimation. International Journal of Control 74: 1737–1742
Lee H. W. J., Teo K. L., Lim A. E. B. (2001) Sensor scheduling in continuous time. Automatica 37: 2017–2023
Savkin A. V., Evans R. J., Skafidas E. (2001) The problem of optimal robust sensor scheduling. Systems and Control Letters 43: 149–157
Wan X., Xu G. Y. (1996) Camera parameters estimation and evaluation in active vision system. Pattern Recognition 29: 439–447
Slijepcevic, S., & Potkonjak, M. (2001). Power efficient organization of wireless sensor networks. In Proceedings of the IEEE international conference on communications, Helsinki, Finland.
Arnold B. C., Balakrishnan N., Nagaraja H. N. (1992) A first course in order statistics. Wiley, New York
Exton H. (1978) Handbook of hypergeometric integrals: Theory, applications, tables, computer programs. Halsted Press, New York
Nadarajah S. (2008) Explicit expressions for moments of order statistics. Statistics and Probability Letters 78: 196–205
Gascuel O., Caraux G. (1992) Bounds on expectations of order statistics via extremal dependences. Statistics and Probability Letters 15: 143–148
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Nadarajah, S. On the Network Coverage Intensity in the Presence of Clock Asynchrony. Wireless Pers Commun 60, 295–305 (2011). https://doi.org/10.1007/s11277-010-9944-4
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DOI: https://doi.org/10.1007/s11277-010-9944-4