Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
Impact of interference on multi-hop wireless network performance
Proceedings of the 9th annual international conference on Mobile computing and networking
Dynamic power allocation and routing for satellite and wireless networks with time varying channels
Dynamic power allocation and routing for satellite and wireless networks with time varying channels
Characterizing achievable rates in multi-hop wireless mesh networks with orthogonal channels
IEEE/ACM Transactions on Networking (TON)
Degenerate delay-capacity tradeoffs in ad-hoc networks with Brownian mobility
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Foundations and Trends® in Networking
Capacity scaling in ad hoc networks with heterogeneous mobile nodes: the super-critical regime
IEEE/ACM Transactions on Networking (TON)
The capacity of wireless networks
IEEE Transactions on Information Theory
Capacity and delay tradeoffs for ad hoc mobile networks
IEEE Transactions on Information Theory
Stability and capacity of regular wireless networks
IEEE Transactions on Information Theory
Capacity of wireless erasure networks
IEEE Transactions on Information Theory
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We investigate two quantities of interest in a delay-tolerant mobile ad hoc network: the network capacity region and the minimum energy function. The network capacity region is defined as the set of all input rates that the network can stably support considering all possible scheduling and routing algorithms. Given any input rate vector in this region, the minimum energy function establishes the minimum time-average power required to support it. In this paper, we consider a cell-partitioned model of a delay-tolerant mobile ad hoc network with general Markovian mobility. This simple model incorporates the essential features of locality of wireless transmissions as well as node mobility and enables us to exactly compute the corresponding network capacity and minimum energy function. Furthermore, we propose simple schemes that offer performance guarantees that are arbitrarily close to these bounds at the cost of an increased delay.