Declarative Policy-Based Adaptive Mobile Ad Hoc Networking

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Departmental Papers (CIS)
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Computer Sciences
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Liu, Changbin
Correa, Ricardo
Li, Xiaozhou
Basu, Prithwish
Mao, Yun
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This paper presents DAWN, a declarative platform that creates highly adaptive policy-based MANET protocols. DAWN leverages declarative networking techniques to achieve extensible routing and forwarding using declarative languages. We make the following contributions. First, we demonstrate that traditional MANET protocols can be expressed in a concise fashion as declarative networks and policy-driven adaptation can be specified in the same language to dictate the dynamic selection of different protocols based on various network and traffic conditions. Second, we propose inter-protocol forwarding techniques that ensure packets are able to seamlessly traverse across clusters of nodes running different protocols selected based on their respective policies. Third, we have developed a fullfledged implementation of DAWN using the RapidNet declarative networking system. We experimentally validate a variety of policy-based adaptive MANETs in various dynamic settings using a combination of ns-3 simulations and deployment on the ORBIT testbed. Our experimental results demonstrate that hybrid protocols developed using DAWN outperform traditional MANET routing protocols, and are able to flexibly and dynamically adapt their routing mechanisms to achieve a good tradeoff between bandwidth utilization and route quality. We further demonstrate DAWN’s capabilities to achieve inter-protocol forwarding across different protocols.

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2011-01-01
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Departmental Papers (CIS)
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2023-05-17T07:15:45.000
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Liu, C., Correa, R., Li, X., Basu, P., Loo, B., & Mao, Y., Declarative Policy-Based Adaptive Mobile Ad Hoc Networking, IEEE/ACM Transactions on Networking, 2011 © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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