Abstract
The rise of large-scale wireless sensor networks (LSWSNs), containing thousands of sensor nodes (SNs) that spread over large geographic areas, necessitates new Quality of Service (QoS) efficient data collection techniques. Data collection and transmission in LSWSNs are considered the most challenging issues. This study presents a new hybrid protocol called MDC-K that is a combination of the K-means machine learning clustering algorithm and mobile data collector (MDC) to improve the QoS criteria of clustering protocols for LSWSNs. It is based on a new routing model using the clustering approach for LSWSNs. These protocols have the capability to adopt methods that are appropriate for clustering and routing with the best value of QoS criteria. Specifically, the proposed protocol called MDC-K uses machine learning K-means clustering algorithm to reduce energy consumption in cluster head (CH) election phase and to improve the election of CH. In addition, a mobile data collector (MDC) is used as an intermediate between the CH and the base station (BS) to further enhance the QoS criteria of WSN, to minimize time delays during data collection, and to improve the transmission phase of clustering protocol. The obtained simulation results demonstrate that MDC-K improves the energy consumption and QoS metrics compared to LEACH, LEACH-K, MDC maximum residual energy leach, and TEEN protocols.
Highlights
Over the past few years, wireless technology has continued to grow through technological developments in various fields related to the microelectronics field
In order to evaluate the performance of the proposed approach, it is compared with various existing protocols based on Quality of Service (QoS) criteria such as throughput and energy consumption in the WSN. e simulation of the proposed approach is done using MATLAB and various parameters and factors are taken into consideration while performing the simulation to enhance the network performance
We have proposed a new hybrid protocol called mobile data collector (MDC)-K, which is a combination of LEACH-K approach and MDC
Summary
Over the past few years, wireless technology has continued to grow through technological developments in various fields related to the microelectronics field. Many research efforts have been carried out on sensor network energy consumption minimization, but only a few have focused on improving clustering protocol based on Quality of Service (QoS) criteria. Erefore, this study proposed a new protocol, which is a combination of the LEACH-K approach and MDC, to improve the QoS of clustering protocols. (i) We have proposed a new routing protocol called MDC-K. e proposed algorithm first applies the machine learning K-means algorithm to split the network into K clusters. After that, it determines the CH of each cluster which will be the closest node to the centroid of each K-means cluster.
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