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Proceedings of the 9th annual international conference on Mobile computing and networking
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Capacity of ad hoc wireless networks with infrastructure support
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Multicast capacity for hybrid wireless networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
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IEEE/ACM Transactions on Networking (TON)
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Multicast scaling laws with hierarchical cooperation
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INFOCOM'10 Proceedings of the 29th conference on Information communications
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IEEE Transactions on Communications
Multicast capacity of wireless ad hoc networks under Gaussian channel model
IEEE/ACM Transactions on Networking (TON)
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On multicast throughput scaling of hybrid wireless networks with general node density
Computer Networks: The International Journal of Computer and Telecommunications Networking
DTN support for news dissemination in an urban area
Computer Networks: The International Journal of Computer and Telecommunications Networking
Closing the gap in the multicast capacity of hybrid wireless networks
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing
Multicast performance with hierarchical cooperation
IEEE/ACM Transactions on Networking (TON)
Capacity bounds of three-dimensional wireless ad hoc networks
IEEE/ACM Transactions on Networking (TON)
Analysis of capacity improvement by directional antennas in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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Proceedings of the second ACM MobiHoc workshop on Airborne networks and communications
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IEEE/ACM Transactions on Networking (TON)
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IEEE/ACM Transactions on Networking (TON)
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In this paper we study the capacity of wireless ad hoc networks with infrastructure support of an overlay of wired base stations. Such a network architecture is often referred to as hybrid wireless network or multihop cellular network. Previous studies on this topic are all focused on the two-dimensional disk model proposed by Gupta and Kumarin their original work on the capacity of wireless ad hoc networks. We further consider a one-dimensional network model and a two-dimensional strip model to investigate the impact of network dimensionality and geometry on the capacity of such networks. Our results show that different network dimensions lead to significantly different capacity scaling laws. Specifically, for a one-dimensional network of n nodes and b base stations, even with a small number of base stations, the gain in capacity is substantial, increasing linearly with the number of base stations as long as b log b ≤ n. However, a two-dimensional square (or disk) network requires a large number of base stations b = Ω(√n) before we see such a capacity increase. For a 2-dimensional strip network, if the width of the strip is at least on the order of the logarithmic of its length, the capacity follows the same scaling law as in the 2-dimensional square case. Otherwise the capacity exhibits the same scaling behavior as in the 1-dimensional network. We find that the different capacity scaling behaviors are attributed to the percolation properties of the respective network models.