Adaptive virtual anchor node based underwater localization using improved shortest path algorithm and particle swarm optimization ( PSO ) technique

2021 ◽  
Author(s):  
Souvik Saha ◽  
Rajeev Kumar Arya
Keyword(s):  
Particle Swarm Optimization ◽  
Shortest Path ◽  
Particle Swarm ◽  
Shortest Path Algorithm ◽  
Swarm Optimization ◽  
Anchor Node ◽  
Underwater Localization

The Shortest Path Optimization Based on Mutation Particle Swarm Optimization Algorithm

2014 ◽  
Vol 1049-1050 ◽  
pp. 1690-1693 ◽  
Author(s):  
Juan Li
Keyword(s):  
Particle Swarm Optimization ◽  
Shortest Path ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Optimization Problems ◽  
Particle Swarm ◽  
Path Optimization ◽  
Adaptive Mutation ◽  
Swarm Optimization ◽  
Mutation Strategy

The traditional evolutionary algorithm is cannot converge faster to solve the path optimization problems, and the path that is computed is not the shortest path, in allusion to the disadvantage of this algorithm, a mutation particle swarm optimization algorithm is proposed. The algorithm introduces the adaptive mutation strategy, and accelerated the speed to search for the global optimal solution. For seven examples experiment in standard database, the result shows that the algorithm is more efficient..

scholarly journals Fuzzy particle swarm optimization algorithms for the open shortest path first weight setting problem

2016 ◽  
Vol 45 (3) ◽  
pp. 598-621 ◽  
Author(s):  
Mohammad Aijaz Mohiuddin ◽  
Salman A. Khan ◽  
Andries P. Engelbrecht
Keyword(s):  
Particle Swarm Optimization ◽  
Shortest Path ◽  
Optimization Algorithms ◽  
Particle Swarm ◽  
Swarm Optimization

scholarly journals Energy Efficient Particle Swarm Optimization Based Multipath Routing in WSN

2018 ◽  
Vol 4 (10) ◽  
pp. 5
Author(s):  
Roshni Jha ◽  
Dr. Shivnath Ghosh
Keyword(s):  
Particle Swarm Optimization ◽  
Shortest Path ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Energy Requirement ◽  
Shortest Paths ◽  
Multipath Routing ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Shortest Path Routing

Wireless Networks includes a larger advantage in today’s communication application like environmental, traffic, military, and health observation. To realize these applications it's necessary to possess a reliable routing protocol. discusses about the working of proposed energy efficient bandwidth aware shortest path routing protocol for multipath routing in wireless sensor network. The proposed algorithm is based for choosing energy efficient shortest path. In routing algorithm, route that have shortest path among multipaths selected by particle swarm optimization algorithm. Among these shortest paths, that path is selected which require minimum route selection parameter. The proposed algorithm uses distance as well as energy of nodes as a parameter to find optimum paths using particle swarm optimization. Among these selected paths, only one optimum path is selected which reduces the energy requirement of the network. According to this work there would be improvement in other parameters also such as end to end delay as well as throughput.

IOT Energy Consumption Based on PSO-shortest Path Techniques

2020 ◽  
Vol 13 (7) ◽  
pp. 993-1000
Author(s):  
Ahmed G. Wadday ◽  
Ahmed A.J. Al-hchaimi ◽  
Ahmed J. Ibrahim
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Consumption ◽  
Shortest Path ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
The Internet ◽  
Swarm Optimization ◽  
Cluster Heads ◽  
Internet Of Thing

Background: The Internet of Thing is a network that enables multiple hardware devices, sensors and other home applications from electronically communicate with each other. New era such technology is increasing importance mainly due to the revolutionary development of information technologies. Methods: However, energy efficiency is still a big challenge facing IoT technology. Thus, it becomes an interesting topic for many researchers to investigate. Current work aims to reduce the energy consumption thereby introducing the shortest path technique and another new practicing for Particle Swarm Optimization algorithm in the Internet of Thing cooperative clusters. Results: The main concept is based on cluster heads cooperation with each other known as Cooperative Clusters to transfer information to the base station. The Primary results reveals a 17% and 16% reduction in energy consumption was achieved over the shortest path technique and Particle Swarm Optimization algorithm respectively. Results also show a remarkable improvement in the system lifetime due to the new applied scheme. Conclusion: The other method is by PSO algothrim at beginig it sending Randomly then it will select the path by using the feed back acknowledgment after that it will collect the information by sending it for the Cluster heads by updating the information status automatically. That’s why we discovered the PSO advantages than the others.

Solving shortest path problem using particle swarm optimization

2008 ◽  
Vol 8 (4) ◽  
pp. 1643-1653 ◽  
Author(s):  
Ammar W. Mohemmed ◽  
Nirod Chandra Sahoo ◽  
Tan Kim Geok
Keyword(s):  
Particle Swarm Optimization ◽  
Shortest Path ◽  
Particle Swarm ◽  
Shortest Path Problem ◽  
Swarm Optimization
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