An Improved Fruit Fly Optimization (IFFOA) based Cluster Head Selection Algorithm for Internet of Things

• Published in: International journal of computers & applications Vol. 43; no. 7; pp. 623 - 631
• Main Authors: Poluru, Ravi Kumar, Kumar R, Lokesh
• Format: Journal Article
• Language: English
• Published: Calgary Taylor & Francis 09.08.2021; Taylor & Francis Ltd
• Subjects: Algorithms; and the Internet of Things; Cluster head selection; Clustering; Communication; energy consumption; fruit fly algorithm; Internet of Things; load balance; Longevity; Nodes; Optimization; Power consumption
• ISSN: 1206-212X; 1925-7074
• DOI: 10.1080/1206212X.2019.1600831

Efficient data broadcasting to nodes of the target is feasible due to the Internet of Things (IoT) which includes a battery priced at a small value and having a smaller size, along with nodes that are hinged with aggregate for sensing which consume a small amount of power. In technique related to routing an essential part is played by clustering such that power is conserved. At this context, transmitting of data that is organized by a dependable network, which is being sustained, one cluster head is being chosen. The concern that is crucial in IoT, namely choosing a Cluster Head (CH) is focused at present work. CH is chosen based on energy that is of a residue in it, length of the path towards base-station, the node to node link for communicating as well as how farther it is to the vicinity. Network's longevity can be achieved formerly using optimizing. Now, Improved Fruit Fly Optimization Algorithm (IFFOA) is the proposal for choosing cluster-head. Scheme proposed indicates by results simulated that present analysis conserves power, lengthening the longevity of the network as well as doing choosing proper CH. The simulations are checked by looking at IFFOA with FCPSO, PSO, and LEACH.