| Popis: |
Wireless sensor networks (WSNs) have several uses in a variety of disciplines. The Internet of Things (IoT), which permits the interconnection of various items or devices over the Internet, is one of the most recent growing applications. However, as compared to mobile ad-hoc networks, WSNs have a greater concern about battery power, which reduces the network's lifetime. As a result, much research has been done on reducing the energy consumption of WSNs. One of the many techniques for reducing the energy consumption of WSNs is to design a hierarchical clustering algorithm. Modeling and constructing energy-efficient routing solutions to maximize the total network lifetime has become one of the most important strategies in wireless sensor networks due to the sensor nodes' limited hardware resources. In a distributed sensor network, cluster-based heterogeneous routing protocols, a common aspect of routing technology, have shown success in managing topology, energy consumption, data collection or fusion, reliability, or stability. In this study, the existing Distributed Energy-Efficient Clustering (DEEC) clustering protocol is modified by introducing a threshold limit for cluster head selection while simultaneously switching the power level between the nodes. The proposed modified DEEC protocol outperforms as compared to the existing DEEC protocol with an 843% rise in packets sent to a base station, extending the number of alive nodes to more than 10,000 rounds, approximately 30,000 rounds, which can be used to enhance the WSN lifetime. When compared with other energy-efficient protocols, it is found that the proposed algorithm performs better in terms of stability period and network lifetime in different scenarios of area, energy, and node density. |
