The Internet of Things (IoT) is a very famous network because of its many applications. IoT network has an integration of large-scale IoT devices that generate data. These IoT devices have a very low level of interaction because they are very low power computational processors. These devices construct records and transmit the records to the base station via intermediate devices. The base station gathers and integrates the data and sends it to the administrator for further processing. The data attains the base station using various routing algorithms with the goal of low power consumption. When discussing low power IoT devices, power efficiency is an important performance measurement when creating a routing algorithm. This paper proposes a Minimum Power Consumption Routing (MPCR) algorithm using Hierarchical Fuzzy Logic Clustering (HFLC) algorithm for IoT networks. Since it aggregates data inside the cluster head and reduces the amount of data transmitted to the base station, the MPCR with HFLC algorithm has a lesser energy utilization for the cluster. This paper explains cluster formation and cluster-head selection, and a simulation has been conducted. Additionally, the proposed algorithm is evaluated with the previous algorithms using multiple metrics including throughput, packet delivery ratio, and power usage of the network. The experimental findings demonstrate that the proposed MPCR with the HFLC algorithm provides high throughput and packet delivery ratio and reduces power usage more efficiently than other existing algorithms.

Clustering, Routing, Energy consumption, hierarchical clustering and fuzzy logic