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Modeling and Evaluation of a Policy Provisioning Architecture for Mobile Ad-Hoc Networks
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computer Systems. DOCS. (CORE)
2006 (English)In: International Journal on Network and Systems Management, Vol. 14, no 2Article in journal (Refereed) Published
Abstract [en]

The ability to dynamically configure mobile ad-hoc network (MANET) devices is critical for supporting complex services such as quality of service (QoS), security and access control in these networks. In our work, we address the problem of policy distribution and provisioning in MANETs. Previously, we have proposed solutions that enable the operator, e.g., a military command and control center, to maintain a logically centralized control of the network as a whole, while allowing a physically decentralized, automated and self-managing implementation essential for a MANET environment. Our policy provisioning architecture consists of: a new service discovery mechanism for allowing MANET nodes to discover policy servers in the network; k-hop clustering for efficient, localized management; Dynamic Service Redundancy (DynaSeR) technique for improving policy service availability in the face of node mobility; and policy negotiation for seamlessly managing network nodes moving across MANET subnetworks owned by different organizations. In this paper, we present an analytical model of the availability of the policy distribution service in a MANET and analyze the performance using stochastic Petri nets (SPNs). We develop the model at two levels of complexity: as a simple Markovian model with Poisson assumptions and as a more accurate non-Markovian model with general distributions obtained using statistical parameterization. We compare and cross-validate the analytical results with simulation and experimental results. Finally, we illustrate the effectiveness of the architecture for managing QoS for soft real-time applications, using an emulated mobile ad-hoc network testbed.

Place, publisher, year, edition, pages
2006. Vol. 14, no 2
Keyword [en]
policy-based management, mobile ad-hoc networks, stochastic petri nets, simulation
URN: urn:nbn:se:uu:diva-20809OAI: oai:DiVA.org:uu-20809DiVA: diva2:48582
Available from: 2006-12-20 Created: 2006-12-20 Last updated: 2011-01-11

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Phanse, Kaustubh
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