Agent Based Job Classification and Resource Allocation in IoT

被引：1

作者：

Hatti, Daneshwari I. ^{[1
]}

Sutagundar, Ashok V. ^{[2
]}

机构：

[1] BLDE Dr PGHCET, Dept ECE, Vijayapur 586102, Karnataka, India

[2] Basaveshwar Engn Coll, Dept ECE, Bagalkot 587102, Karnataka, India

来源：

2017 INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN ELECTRONICS AND COMMUNICATION TECHNOLOGY (ICRAECT) | 2017年

关键词：

Fuzzy Interference System; IoT; Agent Technology; Resource Allocation;

D O I：

10.1109/ICRAECT.2017.22

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Internet of Things (IoT) is combination of things and Internet. Things in IoT communicate via Internet. IoT has several heterogeneous devices and results to many issues. In this work we have proposed agent based job classification and resource allocation in IoT. In the proposed methodology agent uses the Fuzzy Interference System. Agents are defined in two hierarchicy namely at Local Processor Agency (LPA) and IoT Cloud Agency (ICA). Agents interact both for job classification and resource allocation. The jobs are classified and divided into subtasks at LPA. These tasks are allocated with sufficient resources available in devices and ICA facilitates resources if LPA does not have sufficient resources. To test the performance, the proposed work is simulated using C++. Some of the performance parameters considered are response time, energy consumption and bandwidth utilization.

引用

页码：33 / 37

页数：5

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