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首页> 外文期刊>Journal of ambient intelligence and humanized computing >Designing of energy efficient stable clustering protocols based on BFOA for WSNs
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Designing of energy efficient stable clustering protocols based on BFOA for WSNs

机译：基于BFOA的无线传感器网络节能稳定聚类协议设计。

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Efficient clustering method can competently scale down the energy consumption of sensor nodes (SNs) in wireless sensor networks (WSNs). Selection of the best-suited SNs for the role of cluster heads (CHs) can lead to effective clustering process. In past few decades, a number of clustering protocols have been designed to handle these issues in distributed WSNs. However, most of these employed estimation/randomized algorithms for CH selection due to lack of globalized energy awareness problem in distributed WSNs. This paper resolves the problem by using proposed Modified Intelligent CH election based on Bacterial foraging optimization algorithm (M-ICHB), which searches actual higher residual energy SNs for CH selection in distributed WSNs. M-ICHB algorithm does not require any estimation/randomized algorithms during CH selection process, which resolves the issue of energy unawareness problem in the WSN. Moreover in general, most of the existing clustering algorithms have been designed either for homogeneous or heterogeneous WSNs. However in contrary, proposed M-ICHB algorithm is designed for both homogeneous as well as heterogeneous WSNs in this paper. Furthermore, in many critical applications i.e., military surveillance, traffic management, natural disaster forecasting and structural health monitoring; reliability of data from each SN is the most crucial aspect. In this prospect, elongated stability region (from the network initiation till first node dies) of the network is the prime necessity. For this, we have applied proposed M-ICHB algorithm on conventional stability based clustering protocols i.e., LEACH, SEP and DEEC and proposed M-ICHB based stable protocols viz MILEACH, MIrLEACH, MISEP and MIDEEC protocols. Simulation results confirm that proposed MILEACH, MIrLEACH, MISEP and MIDEEC protocols are capable in searching actual higher residual energy nodes for CH selection without using any estimation/randomized algorithm, while maintaining distributive nature of WSNs. Moreover, these offer better stability region, stable CH selection in each round and higher number of packets reception at base station (BS) in comparison to LEACH, SEP and DEEC protocols. Further, MILEACH and MIrLEACH improve the stability region by 53 and 58% and number of packets received at BS by 91 and 97% respectively in comparison to LEACH. Furthermore, MISEP and MIDEEC improve 52 and 21% in stability region and 82 and 188% in number of packets received at BS in comparison to SEP and DEEC protocols.
机译：高效的群集方法可以有效降低无线传感器网络（WSN）中传感器节点（SN）的能耗。选择最适合SN的群集头（CH）角色可以导致有效的群集过程。在过去的几十年中，已经设计了许多群集协议来处理分布式WSN中的这些问题。但是，由于缺乏分布式WSN中的全球化能量感知问题，这些方法大多数都采用估计/随机算法进行CH选择。本文通过使用基于细菌觅食优化算法（M-ICHB）的改进型智能CH选择来解决该问题，该方法在分布式WSN中搜索实际较高的剩余能量SN以进行CH选择。在CH选择过程中，M-ICHB算法不需要任何估计/随机算法，解决了WSN中能量不感知的问题。此外，一般而言，大多数现有的聚类算法都是针对同质或异质WSN设计的。但是相反，本文针对同质和异质WSN设计了所提出的M-ICHB算法。此外，在许多关键应用中，例如军事监视，交通管理，自然灾害预报和结构健康监测；每个SN的数据可靠性是最关键的方面。在这种情况下，网络的拉长的稳定区域（从网络启动到第一个节点死亡）是最必要的。为此，我们已经将提出的M-ICHB算法应用于基于常规稳定性的聚类协议，即LEACH，SEP和DEEC，并且提出了基于M-ICHB的稳定协议，即MILEACH，MIrLEACH，MISEP和MIDEEC协议。仿真结果证实，拟议的MILEACH，MIrLEACH，MISEP和MIDEEC协议能够在不使用任何估计/随机算法的情况下搜索实际的较高剩余能量节点以进行CH选择，同时保持WSN的分布特性。此外，与LEACH，SEP和DEEC协议相比，它们提供了更好的稳定性区域，每轮稳定的CH选择以及在基站（BS）接收的分组数量更高。此外，与LEACH相比，MILEACH和MIRLEACH分别将稳定性区域提高了53和58％，并且在BS处接收到的分组数量分别提高了91和97％。此外，与SEP和DEEC协议相比，MISEP和MIDEEC在稳定区域中提高了52％和21％，在BS处接收的分组数量提高了82％和188％。

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