The pursue mobility model is a type of spatially-dependent[1] mobility model which is used in ad hoc wireless networks and is also based on RPGM (reference point group model). It represents the tracking process of a mobility node (MN) involving a single targeted node using a Random Waypoint.[2] This technology is often used in law enforcement and signal source tracking.[1]
The pursue mobility model simulates scenarios where several nodes attempt to capture single mobile node ahead.[3] This mobility model could be used in target tracking and law enforcement. The node being pursued (i.e., target node) moves freely according to the Random waypoint model. By directing the velocity towards the position of the targeted node, the pursuer nodes (i.e., seeker nodes) try to intercept the target node. This can be demonstrated in the case of police officers trying to locate a criminal with the target being pursued serving as an MN moving based on a specific synthetic single node mobility model.[4]
The pursue mobility model consists of a single update equation for the new position of each Moving Node: new position = old position + acceleration(target—old position) + randomvector.
Example: Nodes chase after a single target that may or may not be moving. Here we have a collection of robots (nodes) trying to catch a single robot that acts as a target. This kind of behavior is found in multiple robotics activities (e.g.: people tracking and so on).
References edit
- ^ a b Ahmad, Khaleel; Udzir, Nur Izura; Deka, Ganesh Chandra (2018-10-03). Opportunistic Networks: Mobility Models, Protocols, Security, and Privacy. CRC Press. ISBN 9780429842696.
- ^ Chaki, Nabendu; Meghanathan, Natarajan; Nagamalai, Dhinaharan (2013). Computer Networks & Communications (NetCom): Proceedings of the Fourth International Conference on Networks & Communications, Volume 131. New York: Springer Science & Business Media. p. 582. ISBN 9781461461531.
- ^ Wiedermann, Jirí; Tel, Gerard; Pokorný, Jaroslav; Bieliková, Mária; Štuller, Július (2006). SOFSEM 2006: Theory and Practice of Computer Science: 32nd Conference on Current Trends in Theory and Practice of Computer Science, Merin, Czech Republic, January 21-27, 2006, Proceedings. Berlin: Springer Science & Business Media. p. 111. ISBN 9783540311980.
- ^ Ali, Diab (2016-04-25). Self-Organized Mobile Communication Technologies and Techniques for Network Optimization. Hershey, PA: IGI Global. p. 292. ISBN 9781522502395.
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