Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions.
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| Title: | Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions. |
|---|---|
| Authors: | Jabbar, Sohail1 sjabbar.research@gmail.com, Iram, Rabia1, Minnas, Abid Ali1, Shafi, Imran1, Khalid, Shehzad1, Ahmad, Muqeet1 |
| Source: | International Journal of Distributed Sensor Networks. 2013, p1-13. 13p. |
| Subjects: | Biocompatibility, COMSKEE (Computer program language), Hybrid solar energy systems, Industrial efficiency, Problem solving |
| Abstract: | This survey article is a comprehensive discussion on Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing. The marvelous perfection of biological systems and its different aspects for optimized solutions for non-biological problems is presented here in detail. In the current research inclination, hiring of biological solutions to solve and optimize different aspects of artificial systems' problems has been shaped into an important field with the name of bio-inspired computing. We have tabulated the exploitation of key constituents of biological system for developing bio-inspired systems to represent its importance and emergence in problem solving trends. We have presented how the metaphoric relationship is developed between the two biological and non-biological systems by quoting an example of relationship between prevailing wireless system and the natural system. Interdisciplinary research is playing a splendid contribution for various problems' solving. The process of combining the individuals' output to form a single problem solving solution is depicted in three-stage ensemble design. Also the hybrid solutions from computational intelligence-based optimization are elongated to demonstrate the emergent involvement of these inspired systems with rich references for the interested readers. It is concluded that these perfect creations have remedies for most of the problems in non-biological system. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 95290927 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jabbar%2C+Sohail%22">Jabbar, Sohail</searchLink><relatesTo>1</relatesTo><i> sjabbar.research@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Iram%2C+Rabia%22">Iram, Rabia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Minnas%2C+Abid+Ali%22">Minnas, Abid Ali</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shafi%2C+Imran%22">Shafi, Imran</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Khalid%2C+Shehzad%22">Khalid, Shehzad</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ahmad%2C+Muqeet%22">Ahmad, Muqeet</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Distributed+Sensor+Networks%22">International Journal of Distributed Sensor Networks</searchLink>. 2013, p1-13. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Biocompatibility%22">Biocompatibility</searchLink><br /><searchLink fieldCode="DE" term="%22COMSKEE+%28Computer+program+language%29%22">COMSKEE (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Hybrid+solar+energy+systems%22">Hybrid solar energy systems</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+efficiency%22">Industrial efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This survey article is a comprehensive discussion on Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing. The marvelous perfection of biological systems and its different aspects for optimized solutions for non-biological problems is presented here in detail. In the current research inclination, hiring of biological solutions to solve and optimize different aspects of artificial systems' problems has been shaped into an important field with the name of bio-inspired computing. We have tabulated the exploitation of key constituents of biological system for developing bio-inspired systems to represent its importance and emergence in problem solving trends. We have presented how the metaphoric relationship is developed between the two biological and non-biological systems by quoting an example of relationship between prevailing wireless system and the natural system. Interdisciplinary research is playing a splendid contribution for various problems' solving. The process of combining the individuals' output to form a single problem solving solution is depicted in three-stage ensemble design. Also the hybrid solutions from computational intelligence-based optimization are elongated to demonstrate the emergent involvement of these inspired systems with rich references for the interested readers. It is concluded that these perfect creations have remedies for most of the problems in non-biological system. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2013/421084 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Biocompatibility Type: general – SubjectFull: COMSKEE (Computer program language) Type: general – SubjectFull: Hybrid solar energy systems Type: general – SubjectFull: Industrial efficiency Type: general – SubjectFull: Problem solving Type: general Titles: – TitleFull: Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jabbar, Sohail – PersonEntity: Name: NameFull: Iram, Rabia – PersonEntity: Name: NameFull: Minnas, Abid Ali – PersonEntity: Name: NameFull: Shafi, Imran – PersonEntity: Name: NameFull: Khalid, Shehzad – PersonEntity: Name: NameFull: Ahmad, Muqeet IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 15501329 Titles: – TitleFull: International Journal of Distributed Sensor Networks Type: main |
| ResultId | 1 |
