scholarly journals Resource Allocation and Joint Mode Selection for Device-to-Device Communications Using Cuckoo Search Algorithm

2021 ◽  
pp. 429-436
Author(s):  
Nethravathi H M ◽  
◽  
S. Akhila
Keyword(s):  
Resource Allocation ◽  
Search Algorithm ◽  
Mode Selection ◽  
Cuckoo Search ◽  
Problem Formulation ◽  
Cuckoo Search Algorithm ◽  
Device To Device ◽  
Optimal Resource ◽  
Radio Resources ◽  
Selection For

In this study, Resource Allocation and Joint Mode Selection for Device-to-Device Communications (D2D) has been modelled using the cuckoo search algorithm (CSA). The implementation is made for equal power control and constraints ensuring that the existing sub-channels are used efficiently and optimally. Simultaneous access to radio resources in a coexistence scenario through D2D technology with optimal mode selection is considered. Initially, the problem formulation for resource allocation is written, then, a cuckoo search optimized solution for optimal resource allocation and mode selection in uplink cellular communications has been proposed and the same has been evaluated using throughput analysis.

scholarly journals Optimal Resource Scheduling for IaaS Cloud Computing using Cuckoo Search Algorithm

2017 ◽  
Vol 9 (1-3) ◽  
Author(s):  
Syed Hamid Hussain Madni ◽  
Muhammad Shafie Abd Latiff ◽  
Shafi’i Muhammad Abdulhamid
Keyword(s):  
Cloud Computing ◽  
Search Algorithm ◽  
Resource Scheduling ◽  
Cuckoo Search ◽  
Computing System ◽  
Cuckoo Search Algorithm ◽  
Cloud Computing System ◽  
Optimal Resource ◽  
System Resource ◽  
Np Hard Problem

Effective resource scheduling is essential for the overall performance of cloud computing system. Resource scheduling problem in IaaS cloud computing is investigated in this paper. It is established to be an NP-hard problem. A recently developed Cuckoo Search (CS) meta-heuristic algorithm is proposed in this paper, to minimize the response time, makespan and throughput for the resource scheduling in IaaS cloud computing. Simulation results show that CS algorithm outperforms that of Ant Colony Optimization (ACO) algorithm based on the considered parameters. 

Multi-Objective Optimization for Sizing of Distributed Generation Using Cuckoo Search Algorithm

2015 ◽  
Vol 785 ◽  
pp. 34-37 ◽  
Author(s):  
Nurzahirah Mohd Zaid ◽  
Mohd Khairi Mokhtar ◽  
Ismail Musirin ◽  
Nur Azzammudin Rahmat
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Voltage Stability ◽  
Search Algorithm ◽  
Stability Index ◽  
Cuckoo Search ◽  
Problem Formulation ◽  
Cuckoo Search Algorithm ◽  
Multi Objective Optimization ◽  
Multi Objective

This paper presents multi-objective optimization for sizing of distributed generation using cuckoo search algorithm. The study involved the development of cuckoo search optimization engine. Prior to the development of multi-objective for cuckoo algorithm, a pre-developed voltage stability index termed asFVSIfor location identification is used in this study. Weighted sum technique is used as the fitness for the problem formulation. Objectives of the study are to minimize the total real power and improve its voltage stability condition. Test is done on IEEE 69-Bus Radial Distribution System. Results obtained from the study indicated that the proposed technique is feasible for further implementation in power system.

scholarly journals Joint Resource Allocation and Mode Selection for Device-to-Device Communication Underlying Cellular Networks

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 29020-29031
Author(s):  
Yongwen Du ◽  
Wenxian Zhang ◽  
Shan Wang ◽  
Jinzong Xia ◽  
Hytheim Alhag Mohammad
Keyword(s):  
Resource Allocation ◽  
Cellular Networks ◽  
Mode Selection ◽  
Joint Resource Allocation ◽  
Device To Device ◽  
Selection For ◽  
Device To Device Communication

Optimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach

2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho
Keyword(s):  
Intelligent Transportation System ◽  
Search Algorithm ◽  
Mac Protocol ◽  
High Mobility ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Traffic Density ◽  
Scheduling Problem ◽  
Broadcast Scheduling

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.

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