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

被引:3
|
作者
Haleem, SulaimaLebbe Abdul [1 ]
Kshirsagar, Pravin R. [2 ]
Manoharan, Hariprasath [3 ]
Prathap, BoppuruRudra [4 ]
Hemalatha, S. [5 ]
Kumar, Kukatlapalli Pradeep [5 ]
Tirth, Vineet [6 ]
Islam, Saiful [7 ]
Katragadda, Raghuveer [8 ]
Amibo, Temesgen Abeto [9 ]
机构
[1] South Eastern Univ Sri Lanka SEUSL, Dept Informat & Commun Technol, Oluvil, Sri Lanka
[2] GH Raisoni Coll Engn, Dept Artificial Intelligence, Nagpur 440016, Maharashtra, India
[3] Panimalar Inst Technol, Dept Elect & Commun Engn, Chennai, Tamil Nadu, India
[4] CHRIST Univ, Dept Comp Sci & Engn, Bangalore, Karnataka, India
[5] Panimalar Inst Technol, Dept Comp Sci & Engn, Chennai, Tamil Nadu, India
[6] King Khalid Univ, Coll Engn, Mech Engn Dept, Abha 61411, Asir, Saudi Arabia
[7] King Khalid Univ, Coll Engn, Civil Engn Dept, Abha 61411, Asir, Saudi Arabia
[8] VR Siddhartha Engn Coll, Dept Business Management, Vijayawada, Andhra Pradesh, India
[9] Jimma Univ, Sch Chem Engn, Jimma Inst Technol, Jimma, Oromia, Ethiopia
关键词
D O I
10.1155/2022/9099163
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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%.
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页数:9
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