Energy Aware Particle Swarm Optimization as search mechanism for aerial micro-robots

2016 ◽  
Author(s):  
Sanaz Mostaghim ◽  
Christoph Steup ◽  
Fabian Witt
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Energy Aware ◽  
Swarm Optimization ◽  
Search Mechanism

Particle Swarm Optimization based Multihop Routing Techniques in Mobile ADHOC Networks

2020 ◽  
pp. 47-56
Author(s):  
M. Ilayaraja ◽  
Keyword(s):  
Particle Swarm Optimization ◽  
Fitness Function ◽  
Multipath Routing ◽  
Particle Swarm ◽  
Mobile Nodes ◽  
Energy Aware ◽  
Swarm Optimization ◽  
Mobile Adhoc Network ◽  
Manet Routing ◽  
Routing Techniques

Mobile adhoc network (MANET) comprises a network of mobile nodes, which communicates with one another through wireless connections. Reliability, energy efficiency, congestion control and interferences are the problems faced with the traditional routing protocols in MANET. Routing defines the process of identifying the optimal paths between two nodes in the network. For resolving these issues, several multipath routing techniques have been presented. This paper assesses the performance of the two bio-inspired multipath routing techniques namely Energy-Aware Multipath Routing Scheme based on particle swarm optimization (EMPSO) and PSO with fitness function (PSO-FF) algorithms. These two algorithms are compared and the results are investigated under several performance measures. The simulation results stated that the PSO-FF algorithm has shown better results over the EMPSO algorithm under several measures.

scholarly journals Optimized Particle Swarm Optimization Algorithm for the Realization of an Enhanced Energy-Aware Location-Aided Routing Protocol in MANET

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 529
Author(s):  
Taj-Aldeen Naser Abdali ◽  
Rosilah Hassan ◽  
Ravie Chandren Muniyandi ◽  
Azana Hafizah Mohd Aman ◽  
Quang Ngoc Nguyen ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Routing Protocol ◽  
Mobile Ad Hoc Network ◽  
Performance Metrics ◽  
Particle Swarm ◽  
Delivery Ratio ◽  
Energy Aware ◽  
Swarm Optimization ◽  
Network Nodes ◽  
Mutation Operation

Mobile Ad-hoc Network (MANETs) is a wireless network topology with mobile network nodes and movable communication routes. In addition, the network nodes in MANETs are free to either join or leave the network. Typically, routing in MANETs is multi-hop because of the limited communication range of nodes. Then, routing protocols have been developed for MANETs. Among them, energy-aware location-aided routing (EALAR) is an efficient reactive MANET routing protocol that has been recently obtained by integrating particle swarm optimization (PSO) with mutation operation into the conventional LAR protocol. However, the mutation operation (nonuniform) used in EALAR has some drawbacks, which make EALAR provide insufficient exploration, exploitation, and diversity of solutions. Therefore, this study aims to propose to apply the Optimized PSO (OPSO) via adopting a mutation operation (uniform) instead of nonuniform. The OPSO is integrated into the LAR protocol to enhance all critical performance metrics, including packet delivery ratio, energy consumption, overhead, and end-to-end delay.

scholarly journals Energy-Aware Real-Time Task Scheduling for Heterogeneous Multiprocessors with Particle Swarm Optimization Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Weizhe Zhang ◽  
Hucheng Xie ◽  
Boran Cao ◽  
Albert M. K. Cheng
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Consumption ◽  
Real Time ◽  
Task Scheduling ◽  
Particle Swarm ◽  
Energy Aware ◽  
Swarm Optimization ◽  
Heterogeneous Multiprocessors ◽  
Time Task ◽  
Feasible Solutions

Energy consumption in computer systems has become a more and more important issue. High energy consumption has already damaged the environment to some extent, especially in heterogeneous multiprocessors. In this paper, we first formulate and describe the energy-aware real-time task scheduling problem in heterogeneous multiprocessors. Then we propose a particle swarm optimization (PSO) based algorithm, which can successfully reduce the energy cost and the time for searching feasible solutions. Experimental results show that the PSO-based energy-aware metaheuristic uses 40%–50% less energy than the GA-based and SFLA-based algorithms and spends 10% less time than the SFLA-based algorithm in finding the solutions. Besides, it can also find 19% more feasible solutions than the SFLA-based algorithm.

scholarly journals Energy-aware multicast routing in manet based on particle swarm optimization

2012 ◽  
Vol 1 ◽  
pp. 434-438 ◽  
Author(s):  
Alireza Sajedi Nasab ◽  
Vali Derhami ◽  
Leyli Mohammad Khanli ◽  
Ali Mohammad Zareha Bidoki
Keyword(s):  
Particle Swarm Optimization ◽  
Multicast Routing ◽  
Particle Swarm ◽  
Energy Aware ◽  
Swarm Optimization
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