Improved LEACH Model with Efficient Data Gathering Scheme for Mobile Internet of Things

The Internet of Things (IoT) is a rapidly emerging field that is gaining a lot of interest from the academic and industrial sectors. It facilitates the communication of extremely huge amounts of data from a variety of smart devices. Owing to the diverse range of IoT devices, the network experienced several issues like excessive power consumption, latency, and data congestion. To overcome these drawbacks, in this an article, improved leach model with an efficient data-gathering scheme is developed in the mobile IoT environment (ILEDGM). The core modules of this ILEDGM are network energy model construction, improved leach model, and communication process. These modules are included in the ns3 program, which analyzes the network’s performance. Data correctness, data loss, transportation overhead, throughput, and averaging latency are the metrics taken into account. The final presentation shows that the suggested ILEDGM outperformed the other approaches in terms of throughput and data success rate. The experimental findings are compared with the preceding methods.