一种新的WSAN最优时延和节能协调算法

Jagadeesh Kakarla, B. Majhi
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引用次数: 52

摘要

无线传感器和行动者网络需要有效的协调机制来在物理世界中执行可靠的动作。本文采用两级分层k-hop聚类算法,提出了一种能量和延迟感知的无线传感器和行动者网络三层协调机制。根据网络面积和传感器数量计算出最优参与者数量。在第一层,传感器通过将参与者节点作为簇头来形成k-hop集群。在第二层,sink作为簇头,在参与者之间形成一个簇。根据传感器和行为体的特点,提出了传感器和行为体之间的协调机制。为了评估该算法的性能,在NS2中对其进行了仿真,并与现有算法进行了比较。仿真结果表明,该算法在能量、时延、包投递率等QoS参数上均优于现有算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new optimal delay and energy efficient coordination algorithm for WSAN
Wireless sensor and actor networks require efficient coordination mechanisms to perform reliable actions in the physical world. In this paper, an energy and delay aware three-level coordination mechanism is proposed for wireless sensor and actor networks using two-level hierarchical k-hop clustering algorithm. An optimal number of actors are calculated based on the network area and number of sensors. In the first level, sensors form a k-hop cluster by placing actor nodes as a cluster heads. In the second level, sink acts as the cluster head and forms a cluster among actors. A coordination mechanism among sensors and actors is also proposed based on their characteristics. To evaluate the performance of the proposed algorithm, it is simulated in NS2 and compared with existing algorithms. Simulation results reveal that the proposed algorithm outperforms the existing algorithms in various QoS parameters such as energy, delay and packet delivery ratio.
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