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Layerless Design of A Power-efficient Clustering Algorithm for Wireless Ad Hoc Networks under Fading

机译:衰落下无线自组网的高效节能聚类算法的无层设计

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摘要

Traditional wireless ad hoc network power-efficient design proceeds separately on access and clustering algorithms by assuming perfect distance (that is, no fading and channel impairments) at most. In this paper, we discard the traditional layer-concept to tackle this important power-efficient wireless ad hoc networks under shadow fading, by identifying distance between a node pair as a sort of random distance to accommodate fading effect, which of course can be considered as a cross-layer design from traditional concept. By deriving the probability distribution of the distance between two nodes and the probability distribution of the distances between nodes and a randomly selected common reference node, the impacts of shadow fading on the link connectivity and node degree of the randomly constructed network topology are studied. Next, we propose a critical node first (CNF) based clustering algorithm to organize such a shadow faded random network topology into a power-efficient network architecture. By taking the shadow fading effects into considerations, our results show that the cluster-based network architecture generated by the proposed CNF-based clustering algorithm is power-efficient since the required number of exchanges of the cluster maintenance overheads is reduced.
机译:传统的无线ad hoc网络节能设计通过假设最大距离(即没有衰落和信道损伤)来在接入和群集算法上分别进行。在本文中,我们通过将节点对之间的距离识别为一种随机距离以适应衰落效应,从而抛弃了传统的层概念,以解决阴影衰落下的这种重要的高效节能无线ad hoc网络。作为传统概念的跨层设计。通过推导两个节点之间的距离的概率分布以及节点与一个随机选择的公共参考节点之间的距离的概率分布,研究了阴影衰落对随机构建的网络拓扑的链路连通性和节点度的影响。接下来,我们提出了一种基于关键节点优先(CNF)的聚类算法,以将这种阴影褪色的随机网络拓扑组织成高效的网络架构。通过考虑阴影衰落效应,我们的结果表明,由于减少了所需的群集维护开销交换次数,因此所提出的基于CNF的群集算法生成的基于群集的网络体系结构具有高能效。

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