An efficient approach for integration of sensor resources into the grid
by Chunlin Li; LaYuan Li
International Journal of Networking and Virtual Organisations (IJNVO), Vol. 9, No. 4, 2011

Abstract: Grid computing paradigm can be extended to include the sharing of sensor resources in sensor network. Sensor enabled grid may combine real time data about physical environment with vast computational resources derived from the grid architecture. One of the major challenges in the design of sensor enabled grid is how to efficiently schedule sensor resource to user jobs across the collection of sensor resources in a sensor grid. The paper studies optimal sensor resources allocation in sensor enabled grid computing environment. The paper presents an efficient mechanism to assign sensor resources to appropriate sensor grid users on the basis of negotiation results among participants. We model sensor allocation problem by introducing the sensor utility function. The goal is to find a sensor resource allocation that maximises the total profit. The paper proposes a distributed optimal sensor resource allocation algorithm. The performance evaluation of proposed algorithm is evaluated and compared with other resource allocation algorithm for sensor grid. The paper also gives the application example of proposed approach.

Online publication date: Sat, 21-Feb-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Networking and Virtual Organisations (IJNVO):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com