Efficient Data Aggregation and Routing Algorithm for IoT Wireless Sensor Networks

The Internet of Things (IoT) Wireless Sensor Network (WSN) mobile node has the following essential resources; Average Energy, Bandwidth, and Memory. These resources have to be used aptly for effectiveness in the application, and hence, it becomes challenging. The data aggregation and routing algorithm make use of energy, bandwidth, and memory in their operation. The existing data aggregation and routing algorithms reduce energy consumption by avoiding redundancy in data, hence effectively reducing bandwidth, and memory. There has been a tradeoff between the level of security (in data aggregation and routing), and energy consumption, as a high level of security will have more intensive computational operations and vice versa. The proposed research is presenting the improved Modified Power-Efficient Gathering (Aggregation) in Sensor Information System (Modified-PEGASIS) algorithm for efficient data aggregation and routing in IoT WSN. The simulation results of the proposed work show superior data safety and protection, leading to better throughput, packet delivery ratio, end to end delay, routing overhead, energy consumption, and security.