Negotiation-based protocols for disseminating information in wireless sensor networks
Wireless Networks - Selected Papers from Mobicom'99
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An evaluation of multi-resolution storage for sensor networks
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Matching data dissemination algorithms to application requirements
Proceedings of the 1st international conference on Embedded networked sensor systems
Probabilistic routing in intermittently connected networks
ACM SIGMOBILE Mobile Computing and Communications Review
Fractionally cascaded information in a sensor network
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Network coding for efficient communication in extreme networks
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
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IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
A mathematical framework for the performance analysis of Bluetooth with enhanced data rate
IEEE Transactions on Communications
Direction-based adaptive data propagation for heterogeneous sensor mobility
Journal of Parallel and Distributed Computing
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Motivated by the current trends in wireless technologies, we present challenging scenarios consisting of moving and uncoordinated wireless objects as well as algorithms that are likely to perform well in such environments. Our primary interest is to design network protocols to efficiently build and maintain distributed communication systems based on opportunistic design principles. Such systems should continue to operate well even if communication is sporadic, no end-to-end routes are available, and sources and consumers of information are not known in advance. Also the environment poses many challenges, that are typical for wireless mobile devices, such as wireless channel impairments, the impossibility of having up-to-date and accurate views of the network topology at every device, and limited energy resources. In the second part of the paper, we discuss and propose solutions for data dissemination in such an environment by exploiting network coding techniques. Furthermore, we report first results which reveal that network coding largely outperforms standard solutions which are based on the classical store and forward paradigm.