Wireless Sensor Data Acquisition and Control Monitoring Model for Internet of Things Applications

Author:

Abdul Haleem SulaimaLebbe1,Kshirsagar Pravin R.2ORCID,Manoharan Hariprasath3,Prathap BoppuruRudra4,S Hemalatha5,Pradeep Kumar Kukatlapalli5,Tirth Vineet6,Islam Saiful7,Katragadda Raghuveer8,Amibo Temesgen Abeto9ORCID

Affiliation:

1. Department of Information & Communication Technology, South Eastern University of Sri Lanka (SEUSL), Oluvil, Sri Lanka

2. Department of Artificial Intelligence, G. H. Raisoni College of Engineering, Nagpur 440016, India

3. Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Poonamallee, Chennai, Tamil Nadu, India

4. Department of Computer Science and Engineering, CHRIST University, Bangalore, India

5. Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai, India

6. Mechanical Engineering Department, College of Engineering, King Khalid University, Abha 61411, Asir, Saudi Arabia

7. Civil Engineering Department, College of Engineering, King Khalid University, Abha 61411, Asir, Saudi Arabia

8. Department of Business Management, V. R. Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India

9. School of Chemical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Oromia, Ethiopia

Abstract

This article focuses on providing solutions for one important application termed as agriculture. In India, one major occupation for people living in urban and rural areas is agriculture where an economic rate depends only on the crops they yield. In such cases, if an intelligent monitoring device is not integrated then it becomes difficult for the farmers to grow their crops and to accomplish marginal income from what they have invested. Also existing methods have been analyzed in the same field where some devices have been installed and checked for increasing the productivity of horticulture crops. But existing methods fail to install an intelligent monitoring device that can provide periodic results within short span of time. Therefore, a sensor based technology with Internet of Things (IoT) has been implemented in the projected work for monitoring major parameters that support the growth and income of farmers. Also, an optimization algorithm for identifying the loss in different crops has been incorporated for maximizing the system boundary and to transmit data to farmers located in different areas. To prove the cogency of proposed method some existing methods have been compared and the results prove the projected technique produces improved results for about 58%.

Funder

King Khalid University

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

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