Mobility Prediction Based Autonomous Data Link Connectivity Maintenance Using Unmanned Vehicles in a Tactical Mobile Ad-Hoc Network 


Vol. 38,  No. 1, pp. 34-45, Jan.  2013


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  Abstract

Due to its self-configuring nature, the tactical mobile ad hoc network is used for communications between tactical units and the command and control center (CCC) in battlefields, where communication infrastructure is not available. However, when a tactical unit moves far away from the CCC or there are geographical constraints, the data link between two communicating nodes can be broken, which results in an invalid data route from the tactical units to CCC. In order to address this problem, in this paper we propose a hierarchical connectivity maintenance scheme, namely ADLCoM (Autonomous Data Link Connectivity Maintenance). In ADLCoM, each tactical unit has one or more GW (gateway), which checks the status of data links between tactical units. If there is a possibility of link breakage, GWs request ground or aerial unmanned vehicles to become a relay for the data link. The simulation results, based on tactical scenarios, show that the proposed scheme can significantly improve the network performance with respect to data delivery ratio.

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  Cite this article

[IEEE Style]

D. V. Le and S. Yoon, "Mobility Prediction Based Autonomous Data Link Connectivity Maintenance Using Unmanned Vehicles in a Tactical Mobile Ad-Hoc Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 1, pp. 34-45, 2013. DOI: .

[ACM Style]

Duc Van Le and Seokhoon Yoon. 2013. Mobility Prediction Based Autonomous Data Link Connectivity Maintenance Using Unmanned Vehicles in a Tactical Mobile Ad-Hoc Network. The Journal of Korean Institute of Communications and Information Sciences, 38, 1, (2013), 34-45. DOI: .

[KICS Style]

Duc Van Le and Seokhoon Yoon, "Mobility Prediction Based Autonomous Data Link Connectivity Maintenance Using Unmanned Vehicles in a Tactical Mobile Ad-Hoc Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 1, pp. 34-45, 1. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880