Wireless Sensor Network Optimization: Multi-Objective Paradigm
Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to select one of the tradeoff solutions. These mult...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/7/17572 |
| _version_ | 1811302320895426560 |
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| author | Muhammad Iqbal Muhammad Naeem Alagan Anpalagan Ashfaq Ahmed Muhammad Azam |
| author_facet | Muhammad Iqbal Muhammad Naeem Alagan Anpalagan Ashfaq Ahmed Muhammad Azam |
| author_sort | Muhammad Iqbal |
| collection | DOAJ |
| description | Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to select one of the tradeoff solutions. These multiple objectives may or may not conflict with each other. Keeping in view the nature of the application, the sensing scenario and input/output of the problem, the type of optimization problem changes. To address different nature of optimization problems relating to wireless sensor network design, deployment, operation, planing and placement, there exist a plethora of optimization solution types. We review and analyze different desirable objectives to show whether they conflict with each other, support each other or they are design dependent. We also present a generic multi-objective optimization problem relating to wireless sensor network which consists of input variables, required output, objectives and constraints. A list of constraints is also presented to give an overview of different constraints which are considered while formulating the optimization problems in wireless sensor networks. Keeping in view the multi facet coverage of this article relating to multi-objective optimization, this will open up new avenues of research in the area of multi-objective optimization relating to wireless sensor networks. |
| first_indexed | 2024-04-13T07:25:53Z |
| format | Article |
| id | doaj.art-aabbff50f8b54912a1ef5ac5f55d0692 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:25:53Z |
| publishDate | 2015-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-aabbff50f8b54912a1ef5ac5f55d06922022-12-22T02:56:28ZengMDPI AGSensors1424-82202015-07-01157175721762010.3390/s150717572s150717572Wireless Sensor Network Optimization: Multi-Objective ParadigmMuhammad Iqbal0Muhammad Naeem1Alagan Anpalagan2Ashfaq Ahmed3Muhammad Azam4Department of Electrical Engineering, COMSATS Institute of Information Technology, Wah Campus, Wah Cantt 47040, PakistanDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Wah Campus, Wah Cantt 47040, PakistanDepartment of Electrical and Computer Engineering, Ryerson University, Toronto,ON M5B 2K3, CanadaDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Wah Campus, Wah Cantt 47040, PakistanDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Wah Campus, Wah Cantt 47040, PakistanOptimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to select one of the tradeoff solutions. These multiple objectives may or may not conflict with each other. Keeping in view the nature of the application, the sensing scenario and input/output of the problem, the type of optimization problem changes. To address different nature of optimization problems relating to wireless sensor network design, deployment, operation, planing and placement, there exist a plethora of optimization solution types. We review and analyze different desirable objectives to show whether they conflict with each other, support each other or they are design dependent. We also present a generic multi-objective optimization problem relating to wireless sensor network which consists of input variables, required output, objectives and constraints. A list of constraints is also presented to give an overview of different constraints which are considered while formulating the optimization problems in wireless sensor networks. Keeping in view the multi facet coverage of this article relating to multi-objective optimization, this will open up new avenues of research in the area of multi-objective optimization relating to wireless sensor networks.http://www.mdpi.com/1424-8220/15/7/17572algorithmsconflicting objectivesmulti-objective optimizationwireless sensor network |
| spellingShingle | Muhammad Iqbal Muhammad Naeem Alagan Anpalagan Ashfaq Ahmed Muhammad Azam Wireless Sensor Network Optimization: Multi-Objective Paradigm Sensors algorithms conflicting objectives multi-objective optimization wireless sensor network |
| title | Wireless Sensor Network Optimization: Multi-Objective Paradigm |
| title_full | Wireless Sensor Network Optimization: Multi-Objective Paradigm |
| title_fullStr | Wireless Sensor Network Optimization: Multi-Objective Paradigm |
| title_full_unstemmed | Wireless Sensor Network Optimization: Multi-Objective Paradigm |
| title_short | Wireless Sensor Network Optimization: Multi-Objective Paradigm |
| title_sort | wireless sensor network optimization multi objective paradigm |
| topic | algorithms conflicting objectives multi-objective optimization wireless sensor network |
| url | http://www.mdpi.com/1424-8220/15/7/17572 |
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