Strategic Allocation of Resources in an IoT Environment: RDSA Algorithm
Priya Matta1, Bhasker Pant2, Sachin Sharma3
1Priya Matta*, Graphic Era Deemed to be University Dehradun, Uttarakhand, India.
2Bhasker Pant, Graphic Era Deemed to be University Dehradun, Uttarakhand, India.
3Sachin Sharma, Graphic Era Deemed to be University Dehradun, Uttarakhand, India
Manuscript received on November 17, 2019. | Revised Manuscript received on 27 November, 2019. | Manuscript published on December 10, 2019. | PP: 1110-1114 | Volume-9 Issue-2, December 2019. | Retrieval Number: L35621081219/2019©BEIESP | DOI: 10.35940/ijitee.L3562.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Internet of Things (IoT) is an evolving idea that observes the physical world as a set of smart objects. All the objects are able to communicate with each other. All the objects are internet enabled as well as capable of performing computations. These objects are used by different users in various manners. There are number of resources that can be identified in an IoT environment. The number of resources is limited but the demand of the users is not bounded to any limits. Therefore, to design and execute a specific IoT system encounters many challenges. The most prominent challenge is resource management. The resources must be managed in such an efficient manner that the resultant throughput of the complete system should be maximized. In this paper, after discussing the concept of resource management, an algorithm is proposed, namely RDSA (Request-Discovery-Scheduling-Allocation). This algorithm can further be extended by implement artificial intelligence for dynamic and unpredictable demands of the users.
Keywords: IoT, Smart Objects, Resources, Resource Management, RDSA.
Scope of the Article: Internet of Things (IoT)