Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey
For the past 20 years, many authors have focused their investigations on wireless sensor networks. Various issues related to wireless sensor networks such as energy minimization (optimization), compression schemes, self-organizing network algorithms, routing protocols, quality of service management,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/1/299 |
| _version_ | 1798038480850255872 |
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| author | Md. Akhtaruzzaman Adnan Mohammd Abdur Razzaque Ishtiaque Ahmed Ismail Fauzi Isnin |
| author_facet | Md. Akhtaruzzaman Adnan Mohammd Abdur Razzaque Ishtiaque Ahmed Ismail Fauzi Isnin |
| author_sort | Md. Akhtaruzzaman Adnan |
| collection | DOAJ |
| description | For the past 20 years, many authors have focused their investigations on wireless sensor networks. Various issues related to wireless sensor networks such as energy minimization (optimization), compression schemes, self-organizing network algorithms, routing protocols, quality of service management, security, energy harvesting, etc., have been extensively explored. The three most important issues among these are energy efficiency, quality of service and security management. To get the best possible results in one or more of these issues in wireless sensor networks optimization is necessary. Furthermore, in number of applications (e.g., body area sensor networks, vehicular ad hoc networks) these issues might conflict and require a trade-off amongst them. Due to the high energy consumption and data processing requirements, the use of classical algorithms has historically been disregarded. In this context contemporary researchers started using bio-mimetic strategy-based optimization techniques in the field of wireless sensor networks. These techniques are diverse and involve many different optimization algorithms. As far as we know, most existing works tend to focus only on optimization of one specific issue of the three mentioned above. It is high time that these individual efforts are put into perspective and a more holistic view is taken. In this paper we take a step in that direction by presenting a survey of the literature in the area of wireless sensor network optimization concentrating especially on the three most widely used bio-mimetic algorithms, namely, particle swarm optimization, ant colony optimization and genetic algorithm. In addition, to stimulate new research and development interests in this field, open research issues, challenges and future research directions are highlighted. |
| first_indexed | 2024-04-11T21:40:48Z |
| format | Article |
| id | doaj.art-ef408eea6be84643a6de931cc9f049dc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:40:48Z |
| publishDate | 2013-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ef408eea6be84643a6de931cc9f049dc2022-12-22T04:01:36ZengMDPI AGSensors1424-82202013-12-0114129934510.3390/s140100299s140100299Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A SurveyMd. Akhtaruzzaman Adnan0Mohammd Abdur Razzaque1Ishtiaque Ahmed2Ismail Fauzi Isnin3Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaFaculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaFaculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaFaculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaFor the past 20 years, many authors have focused their investigations on wireless sensor networks. Various issues related to wireless sensor networks such as energy minimization (optimization), compression schemes, self-organizing network algorithms, routing protocols, quality of service management, security, energy harvesting, etc., have been extensively explored. The three most important issues among these are energy efficiency, quality of service and security management. To get the best possible results in one or more of these issues in wireless sensor networks optimization is necessary. Furthermore, in number of applications (e.g., body area sensor networks, vehicular ad hoc networks) these issues might conflict and require a trade-off amongst them. Due to the high energy consumption and data processing requirements, the use of classical algorithms has historically been disregarded. In this context contemporary researchers started using bio-mimetic strategy-based optimization techniques in the field of wireless sensor networks. These techniques are diverse and involve many different optimization algorithms. As far as we know, most existing works tend to focus only on optimization of one specific issue of the three mentioned above. It is high time that these individual efforts are put into perspective and a more holistic view is taken. In this paper we take a step in that direction by presenting a survey of the literature in the area of wireless sensor network optimization concentrating especially on the three most widely used bio-mimetic algorithms, namely, particle swarm optimization, ant colony optimization and genetic algorithm. In addition, to stimulate new research and development interests in this field, open research issues, challenges and future research directions are highlighted.http://www.mdpi.com/1424-8220/14/1/299wireless sensor networksoptimizationbio-mimetic algorithmsparticle swarm optimizationant colony optimizationgenetic algorithm |
| spellingShingle | Md. Akhtaruzzaman Adnan Mohammd Abdur Razzaque Ishtiaque Ahmed Ismail Fauzi Isnin Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey Sensors wireless sensor networks optimization bio-mimetic algorithms particle swarm optimization ant colony optimization genetic algorithm |
| title | Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey |
| title_full | Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey |
| title_fullStr | Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey |
| title_full_unstemmed | Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey |
| title_short | Bio-Mimic Optimization Strategies in Wireless Sensor Networks: A Survey |
| title_sort | bio mimic optimization strategies in wireless sensor networks a survey |
| topic | wireless sensor networks optimization bio-mimetic algorithms particle swarm optimization ant colony optimization genetic algorithm |
| url | http://www.mdpi.com/1424-8220/14/1/299 |
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