Abstract
The optimized LEACH-focused protocol is proposed to make equal network energy usage and outspread the life cycle. In the first place, the threshold function of the cluster head is adjusted and the technique of division of the network area is configured to change reasonably the size of the clusters, taking account of residual energy and node distance. A sleep mechanism is introduced for intra-cluster transmission to balance the power consumption of nodes. And a new Barycenter Node has been introduced to help the head of the cluster fulfill the transmission task and thus prolong the lifespan. We derived a new formula, considering the angle, energy and distance, in multiple-hop communication between clusters to determine the fitting factor of the next hop. The results of simulations display that the remaining total energy of the optimized LEACH is decreased by 32.6% and the network life cycle respectively increases by around 54%.
Highlights
(GPC), using neighbor nodes to preserve selected node connectivity, using the overlapping of nodes to achieve the necessary coverage rate, improving coverage and connectivity of node to effectively cut network energy consumption
The nodes close to the base station cannot connect to the cluster for the optimum number of cluster heads, which has decreased wireless network energy use significantly
LEACH is a mechanism is that the cluster head (CH) is taken over by all nodes in turn
Summary
(GPC), using neighbor nodes to preserve selected node connectivity, using the overlapping of nodes to achieve the necessary coverage rate, improving coverage and connectivity of node to effectively cut network energy consumption. An efficient CH selection algorithm, PSO-ECHS, based on the optimisation of particulate swarm, and an effective coding and fitness function scheme have been proposed to increase the energy efficiency of the optimization of particulate swarm. In Article [15] the algorithm pDCD was proposed which was a PCP automatic learning algorithm. It found nodes in the deployed network to track the p percentage coverage, achieving the maximum network coverage and improving the network life cycle significantly. The nodes close to the base station cannot connect to the cluster for the optimum number of cluster heads, which has decreased wireless network energy use significantly
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
