Designing dynamic adjustment approach of event reliability in wireless sensor network

Abstract

Many industries, such as environmental monitoring, industrial automation, healthcare, agriculture, and more, use wireless sensor networks. A critical requirement for wireless sensor networks (WSNs) is reliable transmission from source to destination. The main challenges for reliable data transmission are network connectivity, coverage optimization, data aggregation, shortest path, congestion, bandwidth, and quality of service. In a static environment, all sensor units transmit maximum data to the sink, dramatically raising their energy utilization and resulting in their early death. A dynamic environment can be utilized to collect data to reduce the amount of energy required to transport lengthy data packets over a wide area while still maintaining sensor node energy usage. The dynamic environment and duplicate packet simulation reflect real-world challenges like changing node positions and the potential for data duplication due to wireless communication issues. This paper introduces a dynamic event reliability protocol (DERP) in which the new positions of the sensor nodes are generated randomly in each event and a mobile sink collects data from every sensor node. The proposed technique consists of four parts, including a network model, a radio and energy model, a proposed approach, and a performance analysis. Our results show that DERP significantly improves energy consumption and unique packet delivery while reducing packet loss and the number of duplicate packets against LEACH and the average k-means clustering approach.