受大自然启发的优化时间同步算法

Nishtha Joshi, N. Arora, Divya Upadhyay, Ashwani Kumar Dubey
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引用次数: 1

摘要

无线传感器网络中传感器节点间的时间同步效应是一个不断发展的研究领域。在过去的十年里,它受到了极大的关注。本文讨论了自然启发算法——基于蚁群优化的时间同步算法(ACOTS),为解决无线传感器网络中的时间同步问题提供了一种能量优化方案。实现了蚁群优化算法,并观察到它大大减少了同步过程中发送和接收的数据包数量。这将有助于解决时间同步问题,也将创建一个节能网络。将ACOTS算法与参考广播同步(RBS)和传感器网络时间同步协议(TPSN)等现有算法进行了比较。比较结果表明,ACOTS比其他方案使用更少的消息交换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized Time Synchronization Algorithm Inspired By Nature
The effect of time synchronization within the sensor nodes in Wireless Sensor Networks is an ongoing research area. It has received a huge amount of attention in the last decade. This paper discusses nature inspired algorithm, Ant Colony Optimization based Time-Sync(ACOTS) algorithm to provide an energy optimized solution to resolve time synchronization in WSN. Ant Colony optimization algorithm is implemented, and it was observed that it drastically reduces the number of packets transmitted and received during the synchronization process. This would help to solve time synchronization problem as well as it will also create an energy efficient network. The proposed algorithm ACOTS is compared with the already existing algorithms for e.g. Reference-Broadcast Synchronization (RBS) and Time-Sync Protocol for Sensor Network (TPSN). Comparative results suggested ACOTS uses less exchange of messages than other schemes.
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