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Performance Evaluation of Artificial Bee Colony and Compressive Sensing Based Energy Efficient Protocol for WSNs

机译:用于WSN的人工蜂菌落的性能评估及基于压缩感应的能量高效协议

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Day to day rapid growth of development in wireless communication offers enabled improvement that associated with low cost along with low power wireless sensor networks devices. Unbalanced energy utilization is undoubtedly an inherent problem in Wireless sensor networks (WSNs) described as multi-hop routing a along with many-to-one traffic patterns. To overcome this problem a novel compressive sensing based energy efficient protocol is proposed. Majority of existing techniques have neglected the use of compressive sensing and efficient path selection techniques. Therefore, in order to eliminate these kinds of problems/issues, in this particular work two new approaches has been proposed. By using Artificial Bee Colony (ABC) optimization technique for improvement in efficient energy routing protocol and furthermore, to increases the performance with the use of the compressive sensing by run length coding also. The actual compressive sensing works by using data fusion to eliminate unnecessary information from sensor nodes. Therefore, proposed technique has improved the energy conservation rate further.
机译:日常日复一日的无线通信发展的快速增长提供了能够改进,与低成本相关的改进以及低功耗无线传感器网络设备。无比的能量利用无疑是无线传感器网络(WSN)中的固有问题,被描述为多跳路由A以及多达一个流量模式。为了克服这个问题,提出了一种新的基于压缩感测的节能协议。大多数现有技术忽略了使用压缩感测和有效的路径选择技术。因此,为了消除这些问题/问题,在这种特殊的工作中,已经提出了两种新方法。通过使用人造群菌落(ABC)优化技术来改进有效的能量路由协议,而且还通过使用运行长度编码使用压缩感测来提高性能。通过使用数据融合来消除来自传感器节点的不必要信息的实际压缩感测。因此,提出的技术进一步提高了节能率。

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