NDLI: Integrating pervasive computing, infostations and swarm intelligence to design intelligent context-aware parking-space location mechanism

Content Provider	IEEE Xplore Digital Library
Author	Gupta, A. Sharma, V. Ruparam, N.K. Jain, S. Alhammad, A. Ripon, M.A.K.
Copyright Year	2014
Description	Author affiliation: Centre for Comput. Intell. (CCI), De Montfort Univ., Leicester, UK (Ripon, M.A.K.) \|\| Dept. of Electron. & Commun. Eng., Jaipur Eng. Coll. & Res. Centre, Jaipur, India (Gupta, A.; Sharma, V.; Ruparam, N.K.; Jain, S.) \|\| Software Technol. Res. Lab. (STRL), De Montfort Univ., Leicester, UK (Alhammad, A.)
Abstract	With the state-of-the-art developments in wireless communication and internet technology and advances in the miniaturization of electronics, the recent trend in research has been to progressively embed computers and communication in various everyday objects. The ubiquitous availability of internet imparts computing and communication power to objects by adding small silicon chips to them and this paradigm of pervasive computing is transforming conventionally designed vehicles into smart vehicles. In this paper we present novel swarm intelligence based vehicle parking system that exploits the concept of context awareness and wireless communication capabilities in smart vehicles. The parking zones are assigned with web based features using pervasive computing, wireless enabled infrastructure and smart chips. The parking details become available on the internet, and can be communicated to the vehicle searching for a parking space. In case of multiple available parking spaces, the shortest route to the nearest parking is calculated using particle swarm optimization algorithm and is informed to the vehicle driver. Mounting micro sensors and wireless sensors on these vehicles enables them to gather knowledge about their environment, perceive the surroundings and to reason based on the context. Partial automating of the driving task by intelligent location of vacant parking space would enhance the drivers' driving knowledge and capabilities, leading to more efficient, safer and environment-friendly driving conditions and savings in fuel expenditure. The system is proposed to be implemented in Network Simulator-3. The objective of this paper is to contribute towards developing suitable safety and comfort measures for road transport where drivers, smart vehicles and road-side infrastructure work in collaboration using the available context information.
Starting Page	1381
Ending Page	1387
File Size	1494160
Page Count	7
File Format	PDF
ISBN	9781479930784
e-ISBN	9781479930807
DOI	10.1109/ICACCI.2014.6968231
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-24
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Context Context-aware vehicles Pervasive computing Wireless sensor networks Parking systems Intelligent parking Wireless sensors Swarm intelligence Particle swarm optimization Intelligent sensors Vehicles
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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