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Energy-Efficient Algorithm for Multicasting in Duty-Cycled Sensor Networks

机译:节能传感器网络中的组播高效算法

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摘要

Multicasting is a fundamental network service for one-to-many communications in wireless sensor networks. However, when the sensor nodes work in an asynchronous duty-cycled way, the sender may need to transmit the same message several times to one group of its neighboring nodes, which complicates the minimum energy multicasting problem. Thus, in this paper, we study the problem of minimum energy multicasting with adjusted power (the MEMAP problem) in the duty-cycled sensor networks, and we prove it to be NP-hard. To solve such a problem, the concept of an auxiliary graph is proposed to integrate the scheduling problem of the transmitting power and transmitting time slot and the constructing problem of the minimum multicast tree in MEMAP, and a greedy algorithm is proposed to construct such a graph. Based on the proposed auxiliary graph, an approximate scheduling and constructing algorithm with an approximation ratio of 4lnK is proposed, where K is the number of destination nodes. Finally, the theoretical analysis and experimental results verify the efficiency of the proposed algorithm in terms of the energy cost and transmission redundancy.
机译:组播是无线传感器网络中一对多通信的基本网络服务。但是,当传感器节点以异步占空比的方式工作时,发送方可能需要多次将相同的消息发送到一组其相邻节点,这使最小的能量多播问题变得复杂。因此,在本文中,我们研究了占空比传感器网络中具有可调功率的最小能量多播问题(MEMAP问题),并证明了它是NP-hard的。为解决这一问题,提出了一种辅助图的概念,将发射功率和发射时隙的调度问题与最小多播树的构造问题相结合,并提出了一种贪婪算法来构造这种图。 。基于所提出的辅助图,提出了一种近似调度和构造算法,其近似比为4lnK,其中K为目的节点数。最后,理论分析和实验结果从能量成本和传输冗余方面验证了所提算法的有效性。

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