OMMIP: An optimized multiple mobile agents itinerary planning for wireless sensor networks. Issue 6 (18th August 2017)
- Record Type:
- Journal Article
- Title:
- OMMIP: An optimized multiple mobile agents itinerary planning for wireless sensor networks. Issue 6 (18th August 2017)
- Main Title:
- OMMIP: An optimized multiple mobile agents itinerary planning for wireless sensor networks
- Authors:
- Lingaraj, K.
Biradar, Rajashree V.
Patil, V. C. - Abstract:
- Abstract: Mobile agent is programmed software that move across networks or the among the sensor nodes. MA is capable to execute and deliver the code for efficient and re-usability of application. It performs local processing, information processing, collaborative signal. The recent research shows that the efficiency of agent based that are increases in compare to convention WSN (Wireless Sensor Network) that are performed on the client-server computation model. We discuss issues related for MA to visit the base node. In our proposal, we optimized the algorithm that based on iteratively partition in a directional sector zone, where the node will include in the method. In adaptive fashion by the Genetic algorithm schema we obtain the near optimal route. Through the angle of the direction, sector zone the length of method is controlled. The effectiveness of purposed algorithm in compare to alternative approaches will show in simulation.
- Is Part Of:
- Journal of information & optimization sciences. Volume 38:Issue 6(2017)
- Journal:
- Journal of information & optimization sciences
- Issue:
- Volume 38:Issue 6(2017)
- Issue Display:
- Volume 38, Issue 6 (2017)
- Year:
- 2017
- Volume:
- 38
- Issue:
- 6
- Issue Sort Value:
- 2017-0038-0006-0000
- Page Start:
- 1067
- Page End:
- 1076
- Publication Date:
- 2017-08-18
- Subjects:
- WSN -- Mobile Agents -- SGMIP -- VCL -- VS -- SG
68M12
Electronic data processing -- Periodicals
Information science -- Periodicals
Mathematical optimization -- Periodicals
519.6 - Journal URLs:
- http://www.tandfonline.com/toc/tios20/current ↗
http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=tios20 ↗ - DOI:
- 10.1080/02522667.2017.1374740 ↗
- Languages:
- English
- ISSNs:
- 0252-2667
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5006.745000
British Library STI - ELD Digital store - Ingest File:
- 4801.xml