Multi-objective transmitters placement problem in wireless networks

Conference paper

Gamal, Mahmoud, Morsy, Ehab and Fathy, Ahmed. (2015). Multi-objective transmitters placement problem in wireless networks. SoICT: Information and Communication Technology . Vietnam: Association for Computing Machinery. pp. 156 - 162 https://doi.org/10.1145/2833258.2833286
AuthorsGamal, Mahmoud, Morsy, Ehab and Fathy, Ahmed
TypeConference paper
Abstract

In this paper, we consider the problem of placing a set of transmitters, of bounded total cost, in small area wireless networks with a set of receivers each of which of a predefined nonnegative weight. The problem asks to determine and place a set of transmitters in suitable candidate sites such that a set of conflicting objectives are met under cost constraints on transmitters. Namely, we look for transmitter placement that maximizes the total weights of covered receivers, minimizes the total capacitance, and minimizes the overlap in the network. This problem is solved as multi-objective optimization problem by applying a Multi-Objective Evolutionary Algorithm Based on Decomposition Algorithm. Our experimental results show that the proposed algorithm has a good performance in a reasonable running time.

Keywordswireless networks; transmitters placement; genetic algorithm; optimization problems; multi-objective evolutionary algorithm based on decomposition
Year01 Jan 2015
PublisherAssociation for Computing Machinery
Digital Object Identifier (DOI)https://doi.org/10.1145/2833258.2833286
Web address (URL)https://dl.acm.org/doi/10.1145/2833258.2833286
Open accessPublished as non-open access
Research or scholarlyResearch
Publisher's version
License
All rights reserved
File Access Level
Controlled
Page range156 - 162
Web address (URL) of conference proceedingshttps://dl.acm.org/doi/proceedings/10.1145/2833258
Output statusPublished
Publication dates
Online03 Dec 2015
Publication process dates
Deposited21 Jun 2024
Additional information

© 2015 ACM

Place of publicationVietnam
Permalink -

https://acuresearchbank.acu.edu.au/item/90q06/multi-objective-transmitters-placement-problem-in-wireless-networks

Log in to edit

Restricted files

Publisher's version

  • 22
    total views
  • 0
    total downloads
  • 1
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as

Related outputs

Optimizing Placement and Scheduling for VNF by a Multi-objective Optimization Genetic Algorithm
Thien, Phan Duc, Wu, Fan, Bekhit, Mahmoud, Fathalla, Ahmed and Salah, Ahmed. (2024). Optimizing Placement and Scheduling for VNF by a Multi-objective Optimization Genetic Algorithm. International Journal of Computational Intelligence Systems. 17(1), pp. 1-18. https://doi.org/10.1007/s44196-024-00430-x
A Survey of Trendy Financial Sector Applications of Machine and Deep Learning
Lestari, Nur Indah, Hussain, Walayat, Merigo, Jose and Bekhit, Mahmoud. (2023). A Survey of Trendy Financial Sector Applications of Machine and Deep Learning. Second EAI International Conference, BigIoT-EDU 2022. Switzerland: Springer Nature. pp. 619-633 https://doi.org/10.1007/978-3-031-23944-1_68
Heterogeneous transfer learning in structural health monitoring for high rise structures
Anaissi, Ali, D’souza, Kenneth, Suleiman, Basem, Bekhit, Mahmoud and Alyassine, Widad. (2023). Heterogeneous transfer learning in structural health monitoring for high rise structures. Second international conference on innovations in computing research (ICR'23). Switzerland: Springer Nature. pp. 405 - 417 https://doi.org/10.1007/978-3-031-35308-6
Multi-objective VNF placement optimization with NSGA-III
Bekhit, Mahmoud, Fathalla, Ahmed, Eldesouky, Esraa and Salah, Ahmad. (2023). Multi-objective VNF placement optimization with NSGA-III. 2023 International conference on advances in computing research (ACR'23). Switzerland: Springer Nature. pp. 481 - 493 https://doi.org/10.1007/978-3-031-33743-7_39
Comparing Ensemble Learning Techniques on Data Transmission Reduction for IoT Systems
Salah, Ahmad, Bekhit, Mahmoud, M. Alkalbani, Asma, Mohamed, Mohamed, Lestari, Nur Indah and Fathalla, Ahmed. (2023). Comparing Ensemble Learning Techniques on Data Transmission Reduction for IoT Systems. Switzerland: Springer Nature. pp. 72-85 https://doi.org/10.1007/978-3-031-33743-7_6
Price Prediction of Seasonal Items Using Time Series Analysis
Salah, Ahmed, Bekhit, Mahmoud, Eldesouky, Esraa, Ali, Ahmed and Fathalla, Ahmed. (2023). Price Prediction of Seasonal Items Using Time Series Analysis. Computer Systems Science and Engineering. 46(1), pp. 445-460. https://doi.org/10.32604/csse.2023.035254
Real-time and automatic system for performance evaluation of karate skills using motion capture sensors and continuous wavelet transform
Fathalla, Ahmed, Salah, Ahmad, Bekhit, Mahmoud, Eldesouky, Esraa, Talha, Ahmed, Zenhom, Abdalla and Ali, Ahmed. (2023). Real-time and automatic system for performance evaluation of karate skills using motion capture sensors and continuous wavelet transform. International Journal of Intelligent Systems. 2023, pp. 1-11. https://doi.org/10.1155/2023/1561942
An adaptive jellyfish search algorithm for packing items with conflict
El-Ashmawi, Walaa H., Salah, Ahmed, Bekhit, Mahmoud, Xiao, Guoqing, Al Ruqeishi, Khalil and Fathalla, Ahmed. (2023). An adaptive jellyfish search algorithm for packing items with conflict. Mathematics. 11(14), pp. 1-28. https://doi.org/10.3390/math11143219
A Survey of Trendy Financial Sector Applications of Machine and Deep Learning
Lestari, Nur Indah, Hussain, Walayat, Merigo, Jose and Bekhit, Mahmoud. (2023). A Survey of Trendy Financial Sector Applications of Machine and Deep Learning. Second EAI International Conference, BigIoT-EDU 2022. Virtual Event 29 - 31 Jul 2022 Switzerland: Springer. pp. 619-633 https://doi.org/10.1007/978-3-031-23944-1
A survey on deep learning architectures in human activities recognition application in sports science, healthcare, and security
Adel, Basant, Badran, Asmaa, Elshami, Nada, Salah, Ahmad, Fathalla, Ahmed and Bekhit, Mahmoud. (2022). A survey on deep learning architectures in human activities recognition application in sports science, healthcare, and security. ICR 2022 International Conference on Innovations in Computing Research. Athens, Greece 29 - 31 Aug 2022 Switzerland: Springer Nature. pp. 121 - 134 https://doi.org/10.1007/978-3-031-14054-9_13
Data Security in Hybrid Cloud Computing Using AES Encryption for Health Sector Organization
Bekhit, Mahmoud and Alsadoon, Abeer. (2022). Data Security in Hybrid Cloud Computing Using AES Encryption for Health Sector Organization. 7th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, (CITISIA). Sydney, Australia 14 - 16 Nov 2022 Switzerland: Springer Nature. pp. 155-167 https://doi.org/10.1007/978-3-031-29078-7_15
Machine learning and deep learning for predicting indoor and outdoor IoT temperature monitoring systems
Lestari, Nur Indah, Bekhit, Mahmoud, Mohamed, Mohamed, Fathalla, Ahmed and Salah, Ahmad. (2021). Machine learning and deep learning for predicting indoor and outdoor IoT temperature monitoring systems. IoT as a service 7th EAI international conference, IoTaas 2021. Sydney Australia 13 - 14 Dec 2021 Switzerland: Springer Nature. pp. 185 - 197 https://doi.org/10.1007/978-3-030-95987-6_13
A robust UWSN handover prediction system using ensemble learning
Eldesouky, Esraa, Bekhit, Mahmoud, Fathalla, Ahmed, Salah, Ahmed and Ali, Ahmed. (2021). A robust UWSN handover prediction system using ensemble learning. Sensors. 21(17), pp. 1-16. https://doi.org/10.3390/s21175777
Marine data prediction : An evaluation of machine learning, deep learning, and statistical predictive models
Ali, Ahmed, Fathalla, Ahmed, Salah, Ahmad, Bekhit, Mahmoud and Eldesouky, Esraa. (2021). Marine data prediction : An evaluation of machine learning, deep learning, and statistical predictive models. Computational Intelligence and Neuroscience  (Delisted by Scopus/WOS as a paper mill). 2021, pp. 1-13. https://doi.org/10.1155/2021/8551167
Multi objective resource optimisation for network function virtualisation requests
Bekhit, Mahmoud, Abolhasan, Mehran, Lipman, Justin, Liu, Ren and Ni, Wei. (2019). Multi objective resource optimisation for network function virtualisation requests. 26th International Conference on Systems Engineering (ICSEng). University of Technology Sydney, Australia 18 - 20 Dec 2018 Australia: IEEE Xplore. pp. 1-7 https://doi.org/10.1109/ICSENG.2018.8638192
Multi-objective nodes placement problem in large regions wireless networks
Bekhit, Mahmoud, Morsy, Ehab and Salah, Ahmad. (2014). Multi-objective nodes placement problem in large regions wireless networks. 4th international conference on electronic, communications and networks (CECNet2014). Beijing, China 12 - 15 Dec 2014 China: CRC Press. pp. 61 - 66