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Bits-per-Joule Capacity of Energy-Limited Wireless Networks

机译:能量受限无线网络的每焦耳位数

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For a wireless network in which every node is bounded in its energy supply, we define a new concept of network capacity called "bits-per-Joule capacity", which is the maximum total number of bits that the network can deliver per Joule of energy deployed into the network. For a fixed network size, a finite number of information bits is delivered for each source-destination pair, under a fixed end-to-end probability of error constraint. We prove that under the one-to-one traffic model in which every node wants to send traffic to a randomly chosen destination node, the bits-per-Joule capacity of a stationary wireless network grows asymptotically as Omega((N/logN)(q-1)/2 ), where N is the number of nodes randomly deployed onto the surface of a sphere and q is the path loss exponent. Further, the length of the block codes used grows only logarithmically in N, which indicates manageable decoder complexity as the network scales. The fact that the bits-per-Joule capacity grows with the number of nodes contrasts sharply with the scaling laws that have been derived for throughput capacity and implies that large-scale deployments for energy-limited sensor and ad hoc networks may be suitable for delay-tolerant data applications
机译:对于每个节点都受其能量供应限制的无线网络,我们定义了一个新的网络容量概念,称为“每焦耳位数”,它是网络每焦耳能量可传递的最大位数部署到网络中。对于固定的网络大小,以固定的端到端错误约束概率,为每个源-目的地对传递有限数量的信息位。我们证明了在每个节点都希望将流量发送到随机选择的目标节点的一对一流量模型下,固定无线网络的每焦耳比特容量渐近增长为Omega((N / logN)( q-1)/ 2),其中N是随机部署到球体表面上的节点数,q是路径损耗指数。此外,所使用的分组码的长度仅以N为对数增长,这表明随着网络规模的扩展,可管理的解码器复杂性。每焦耳位数随节点数量的增长而增长的事实与针对吞吐量能力得出的缩放定律形成鲜明对比,并暗示能量受限的传感器和自组织网络的大规模部署可能适合延迟容忍的数据应用

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