Search Results - (( based communication system algorithm ) OR ( using optimization path algorithm ))
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1
Transmission path optimization Based on Efficiency Communication System
Published 2022“…In this paper, routing attribute table that is maintained by the nodes, the density and relative distance of node distribution, is used to determine the clustering method. At the same time, the developed algorithm combines the relative position of the cluster and the base station to further improve the routing method of the sub-cluster head, Finally, the algorithm analyzes the influence of different parameters on the transmission path, and use the simulation experiments to evaluate the conclusions.…”
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2
Interference avoidance routing and scheduling using multiple transceivers for IEEE 802.16 mesh network
Published 2010“…This algorithm looks for a short path from the subscriber station (SS) node to BS, while the optimal path is achieved when the whole path has the lowest EbMR. …”
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3
Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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4
Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs
Published 2023“…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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5
Resource-efficient coverage path planning for unmanned aerial vehicle based aerial gateway in LoRaWAN
Published 2022“…EECPP consist of two algorithms which is Stop Point Prediction Algorithm using K-Means, which finding the stop point for the AG after grouping the IDs into clusters, and Path Planning Algorithm using Particle Swarm Optimization which connect all of the stop point in shortest route. …”
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6
Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs
Published 2023“…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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7
Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs
Published 2023“…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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8
Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs
Published 2023“…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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9
A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…Therefore this research proposed a novel model for artificial neuro-glial networks and swarm-inspired algorithm for autonomous robots’ communication. Artificial neuro-glial networks is proposed to be combined in the swarm-based communication algorithm to provide a human-like model for the robot's communication and optimization.…”
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10
Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks
Published 2009“…Ants’ algorithm belongs to the Swarm Intelligence (SI), which is proposed to find the shortest path. …”
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11
Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs
Published 2023“…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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12
Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs
Published 2023“…The EWOA algorithm is used for initial optimal path selection, and ACO is used to find the best optimal solution to achieve effective communication in VANETs. …”
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13
Efficient and scalable ant colony optimization based WSN routing protocol for IoT
Published 2020“…In this paper, an ant colony optimization (ACO) based WSN routing algorithm for IoT has been proposed and analyzed to enhance scalability, to accommodate node mobility and to minimize initialization delay for time critical applications in the context of IoT to find the optimal path of data transmission, improvising efficient IoT communications. …”
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14
Wireless sensor nodes deployment using multi-robot based on improved spanning tree algorithm
Published 2015“…One of the solutions to this problem is by using mobile robots with concern on exploration algorithm for mobile robot. …”
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15
Smart Microgrid QoS and Network Reliability Performance Improvement using Reinforcement Learning
Published 2021“…The work is tested and compared with four routing oriented decision-making algorithms, Open shortest path first (OSPF), Optimized link state routing (OLSR), Routing information protocol (RIP) and Multi-agent based Bellmanford routing (MABR). …”
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16
A novel bio-inspired routing algorithm based on ACO for WSNs
Published 2019“…A novel approach of ant colony optimization (ACO) algorithm for discovering the optimum route for information transmission in the WSNs is proposed here for optimization and enhancement. …”
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17
Routing based multi-agent system for network reliability in the smart microgrid
Published 2020“…The proposed agent-based routing focuses on calculating the shortest path to a given destination to improve network quality and communication reliability. …”
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18
Design of A unmanned aerial vehicles assisted search and rescue collaboration architecture for emergency communication systems / Abdu Ahmed Saif Ahmed
Published 2022“…This thesis addresses these issues by studying a theoretical framework for designing and analyzing emergency communication system (ECS) algorithms for post-disaster recovery. …”
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19
Enhancing quality of service in Multi-Radio Multi-Channel Wireless Mesh Networks
Published 2023“…The COngestion Reduction Routing Algorithm (CORRA) tackles this challenge by evaluating link quality and interference to find optimal data paths. …”
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20
Dog voice identification (ID) for detection system
Published 2012“…While the voice pattern classification will be done by using DTW algorithm. The DTW voice pattern classification module is playing a very important role as it is used to get the optimal path between the input voice and the reference voice in the database. …”
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