Stationary Properties of Random Direction Models

Distributed Source Coding (DSC) is one of the most promising collaborative information processing technologies for Wireless Video Sensor Networks (WVSN) because its low complexity video encoder is suitable for resource limited sensor nodes. Generic sensor nodes with limited energy are restricted with computation and communication capabilities, therefore, traditional video coding such as MPEG-4 or H.264 is too complicated for sensor nodes. In this paper, the concept and the predominant methods of distributed source coding are introduced briefly. Moreover, how to apply distributed source coding appropriately in multi-source multi-camera wireless video sensor network is investigated. Traditional distributed source coding technology is asymmetric but sensor nodes in WVSN are homogenous, therefore, symmetric distributed source coding appropriate for multi-camera wireless video sensor networks is discussed. Moreover, multi-source symmetric distributed source coding is investigated because there are a mass of sensor nodes in the WVSN. As we known, it is the first exploration about multi-source distributed source coding technology.

[1]  Michele Garetto,et al.  Analysis of Random Mobility Models with Partial Differential Equations , 2007, IEEE Transactions on Mobile Computing.

[2]  Jean-Yves Le Boudec Performance Evaluation of Computer and Communication Systems , 2010, Computer and communication sciences.

[3]  Donald F. Towsley,et al.  Properties of random direction models , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[4]  R. Romer,et al.  Tables of functions with formulae and curves , 1934 .

[5]  Louise E. Moser,et al.  An analysis of the optimum node density for ad hoc mobile networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[6]  Jean-Yves Le Boudec Understanding the simulation of mobility models with Palm calculus , 2007, Perform. Evaluation.

[7]  H. H. Li,et al.  Influence of mobility models on node distribution in ad hoc networks , 2003, International Conference on Communication Technology Proceedings, 2003. ICCT 2003..

[8]  Christian Bettstetter,et al.  Mobility modeling in wireless networks: categorization, smooth movement, and border effects , 2001, MOCO.

[9]  J.-Y. Le Boudec On the stationary distribution of speed and location of random waypoint , 2005, IEEE Transactions on Mobile Computing.

[10]  Guevara Noubir,et al.  Mobility models for ad hoc network simulation , 2004, IEEE INFOCOM 2004.

[11]  L. Santaló Integral geometry and geometric probability , 1976 .

[12]  R. Romer,et al.  Tables of functions with formulae and curves , 1934 .

[13]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[14]  Paolo Santi,et al.  The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks , 2003, IEEE Trans. Mob. Comput..