Pigeon Navigation Influenced Economic Route Construction for Smooth Data Transmission in IoT

• Published in: Wireless personal communications 2024-02, Vol.134 (4), p.2413-2437
• Main Author: John, Jacob
• Format: Article
• Language: English
• Subjects: Algorithms; Clusters; Communications Engineering; Computer Communication Networks; Data transmission; Design parameters; Energy conservation; Energy consumption; Energy efficiency; Engineering; Graph theory; Internet of Things; Navigation; Network design; Networks; Nodes; Obstructions; Pigeons; Signal,Image and Speech Processing; Wireless sensor networks
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-024-11059-6

Wireless Sensor networks are the basic infrastructure of the Internet of Things (IoT), where energy conservation is an important network design parameter. For reducing energy consumption and increasing the network's operational lifetime, it is very necessary to construct shorter routes for data transmission. The main focus of this research is to prepare the shortest route tree for data transmission and facilitate smooth data transmission without any hurdles. Nature-inspired algorithms are schemes derived from natural processes, which are increasingly used nowadays as problem-solving methodologies. Since ancient times, pigeons have been used for carrying messages from sender to receiver. In this paper, an energy-efficient Pigeon Navigation Influenced Economic Route Construction Algorithm (PNIERCA), for constructing data transmission routes through nodes of IoT is presented. A cluster head is chosen, in each cluster of the network with a new fitness function. The data transmission routes are constructed from sink to CHs and then to the ordinary nodes. The possible routes are evaluated using a newly introduced route fitness function, which examines the various obstructions against the smooth data flow in that path. Then, the shortest route tree among sink, CHs, and nodes is constructed by adding the most suitable routes to it by following the principles of minimum spanning tree (MST). The result obtained from the simulation process shows that the performance of the PNIERCA is better in the matter of energy efficiency by 6.10%, packet delivery ratio by 4.17%, throughput by 3.94%, and network life duration by 8.62% when compared with the latest research works in the similar domain.