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Asymptotic analysis of multistage cooperative broadcast in wireless networks
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Asymptotic analysis of large cooperative relay networks using random matrix theory
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Alternating opportunistic large arrays in broadcasting for network lifetime extension
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Multicasting in large random wireless networks: bounds on the minimum energy per bit
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Cooperative video summary transmission in wireless networks
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ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Energy efficient cooperative broadcasting in wireless networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Cooperative wireless multicast: performance analysis and power/location optimization
IEEE Transactions on Wireless Communications
Minimum energy per bit for wideband wireless multicasting: performance of decode-and-forward
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Minimum-outage broadcast in wireless networks with fading channels
IEEE Communications Letters
OLA with transmission threshold for strip networks
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A distributed channel assignment control for QoS support in mobile ad hoc networks
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We address the minimum-energy broadcast problem under the assumption that nodes beyond the nominal range of a transmitter can collect the energy of unreliably received overheard signals. As a message is forwarded through the network, a node will have multiple opportunities to reliably receive the message by collecting energy during each retransmission. We refer to this cooperative strategy as accumulative broadcast. We seek to employ accumulative broadcast in a large scale loosely synchronized, low-power network. Therefore, we focus on distributed network layer approaches for accumulative broadcast in which loosely synchronized nodes use only local information. To further simplify the system architecture, we assume that nodes forward only reliably decoded messages. Under these assumptions, we formulate the minimum-energy accumulative broadcast problem. We present a solution employing two subproblems. First, we identify the ordering in which nodes should transmit. Second, we determine the optimum power levels for that ordering. While the second subproblem can be solved by means of linear programming, the ordering subproblem is found to be NP-complete. We devise a heuristic algorithm to find a good ordering. Simulation results show the performance of the algorithm to be close to optimum and a significant improvement over the well known BIP algorithm for constructing energy-efficient broadcast trees. We then formulate a distributed version of the accumulative broadcast algorithm that uses only local information at the nodes and has performance close to its centralized counterpart.