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Topology control for constructive interference-based data dissemination in WSN

机译:WSN中基于建设性干扰的数据传播的拓扑控制

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摘要

Data dissemination is a fundamental service in wireless sensor networks. Traditional protocols often suffer severe medium contention problem or incur significant overhead in contention resolution. Constructive interference (CI) enables concurrent transmissions to interfere constructively, so as to enhance network performance. It has been proved that leveraging CI can achieve near-optimal network flooding latency. However, recent studies show that redundant nodes transmitting simultaneously may degrade the dissemination performance and also consume extra energy. Considering the limited energy of sensor nodes, how to choose the appropriate nodes for simultaneous transmission is important for CI-based data dissemination schemes. In this paper, we formulate this problem as a multi-objective combinatorial optimisation problem theoretically. Considering the complexity of the problem, we design a distributed greedy node selection algorithm to select suitable nodes which forward simultaneously based on CI in each time slot. The main idea of the algorithm is that, by maintaining RecSet and unRecSet in the two-hop neighbour, each node selects suitable nodes from RecSet to transmit simultaneously, such that the maximum number of nodes in unRecSet can receive the packet. Numerical simulations show the efficiency of our proposed algorithm.
机译:数据传播是无线传感器网络中的基本服务。传统方案经常遭受严重的中等争论问题,或在争取解决方案中产生重大的开销。建设性干扰(CI)使得并发变速器能够在建设性地干扰,以提高网络性能。已经证明,利用CI可以实现近最优网络泛滥延迟。然而,最近的研究表明,同时传输的冗余节点可能会降低传播性能并消耗额外的能量。考虑到传感器节点的有限能量,如何选择适当的节点用于同时传输对于基于CI的数据传播方案很重要。在本文中,我们在理论上将该问题作为多目标组合优化问题。考虑到问题的复杂性,我们设计了一种分布式贪婪节点选择算法,以选择基于每个时隙中的CI同时前进的合适节点。该算法的主要思想是,通过在两个跳邻居中维持再生和不应折叠,每个节点从再次选择以同时发送的合适节点,使得UNRECset中的最大节点数可以接收分组。数值模拟显示了我们所提出的算法的效率。

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