The Comparative Analysis between Distance DEEC and IOT DEEC Based on Network Lifetime and Energy Consumption
Year: 2024
Type: article
Abstract: The family of IoT are closely connected to WSNs as many IoT systems are built around WSNs.In the same way even though it is the little battery capacity for the nodes of sensors, energy efficiency is so important.The main routing protocol being studied in this paper are the new IoT-DEEC (DEEC for the Internet of Things) and the Distance-DEEC (D-DEEC), which could lead to a huge saving in energy and prolong the leader the Network's life.With D-DEEC and IoT-DEEC, specific cluster heads (CHs) are designated by these and this is strictly to serve the aim of maximizing power consumption.The D-DEEC algorithm takes two factors into account when selecting the CHs which are more near the base station and have abundant energy level.It also features the sleep-wake system so that walking can be in CH mode or regular mode.Unsurprisingly, the IoT-DEEC saves energy compared to this one, with it limiting the staying of data in the CH and involving the distances between nodes and the CHs in the calculations of the energy consumption.Parallelly to explain the advantages of these protocols over the conventional ones the paper also suggests other points like hardware implementation issues, simulation studies and types of optimizations for energy efficiency.From the Results reported, The proposed "IOT-DEEC" would yield the excellent results when compared to Developed Distributed Energy-Efficient Clustering DDEEC, and Improving Distributed Energy-Efficient Clustering IDEEC and the Conventional Distributed Energy Efficient Clustering DEEC, which are based on increasing the nodes alive, decreasing the dead nodes, and increasing the packet to The LR t-model created more Alive nodes by approximation 22% in all rounds and decreased the highly Dead nodes by approximation 28.79% compared by conventional algorithms.The model also increased the Packet to BS by approximation 48.6% in all rounds.
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4401705837