Topology Enhancements in Wireless Multi-hop Networks: A Top-down Approach

IEEE Transactions on Parallel and Distributed Systems (Impact Factor: 1.8). 01/2012; DOI: 10.1109/TPDS.2011.250
Source: IEEE Xplore

ABSTRACT Contemporary traffic demands call for efficient infrastructures capable of sustaining increasing volumes of social communications. In this work, we focus on improving the properties of wireless multi-hop networks with social features through network evolution. Specifically, we introduce a framework, based on inverse Topology Control (iTC), for distributively modifying the transmission radius of selected nodes, according to social paradigms. Distributed iTC mechanisms are proposed for exploiting evolutionary network churn in the form of edge/node modifications, without significantly impacting available resources. We employ continuum theory for analytically describing the proposed top-down approach of infusing social features in physical topologies. Through analysis and simulation, we demonstrate how these mechanisms achieve their goal of reducing the average path length, so as to make a wireless multi-hop network scale like a social one, while retaining its original multi-hop character. We study the impact of the proposed topology modifications on the operation and performance of the network with respect to the average throughput, delay and energy consumption of the induced network.

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    ABSTRACT: Future communications require distributed, adjustable and energy-efficient wireless topologies. Network churn based topology modification mechanisms have been shown to achieve such goals by infusing small-world properties in multi-hop radio networks, thus improving network reconfiguration and end-to-end capabilities. Towards further enhancing such mechanisms, in this work, we present an optimization methodology that analyzes and properly balances the underlying node and edge churn sub-mechanisms of network churn modification. The emerging optimization is non-linear in the general case and we employ sequential quadratic programming and decomposition methods to tackle it. By exploiting the obtained solutions, we demonstrate the efficacy of the optimization and analyze the inherent wireless trade-off between energy consumption and average path length. We show that when energy consumption is of interest, node churn based control should be preferred, while in order to increase performance, edge churn is more suitable. Thus, the proposed optimization methodology enables efficient and targeted control of multi-hop wireless communications for the Future Internet at various scales and operational demands.