Assessment on Different Classification Algorithms Used in Internet of Things Applications

Assessment on Different Classification Algorithms Used in Internet of Things Applications

Akhil Bansal (University Institute of Technology, RGPV, Bhopal, India), Manish Kumar Ahirwar (University Institute of Technology, RGPV, Bhopal, India) and Piyush K. Shukla (University Institute of Technology, RGPV, Bhopal, India)
DOI: 10.4018/IJOCI.2019010101


The past few years have witnessed the Internet of Things (IoT) has evolved a lot and continues to evolve in various fields such as healthcare, agriculture, smart city, education, industries, automation, home care, etc. This advancement is caused by the development of sensor-enabled devices called IoT devices. The data collected from such devices will be used to identify and manage complex environment around us that will reduce the human intervention and also escalate efficiency, productivity, accuracy and economic benefits of the devices. In this survey article, the authors analyze how the datasets of different applications of the IoT such as agriculture, healthcare, smart city are processed and classified. The article also outlines the recent review of more common classification algorithms such as Support Vector Machine, Naïve Byes, Decision Tree, etc., that were used to classify the dataset with different parameters applied to the Internet of Things applications. In addition, this article also gives a brief review of the applications of the Internet of Things.
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2. Internet Of Things Application Area

2.1. Health

The integration of health care with IoT (Bansal et al., 2018) helps the patients to get medical care quickly and easily. IoT exhaust a new lifeline in the healthcare sector by enhancing the sensor-enabled device techniques and by compounding the other techniques such as RFID (Jia et al., 2012) (radio frequency identification system), Bluetooth, Wi-Fi (Saraswathi et al., 2016). In case of an emergency with the help of IoT, doctors can monitor patient’s health from a remote location (Ani et al., 2017) and provide the related treatment. In the diagnosis of many chronic diseases (Raji et al., 2016) such as asthma, heart attack, kidney, cancer, diabetes (Chui et al., 2017; Islam et al., 2015) IoT plays a significant role. IoT is a boon for old age people, it helps in their activity and movement recognition of elderly people (Bisio et al., 2017), helps in the Alzheimer etc. IoT based e-healthcare system (Farahani et al., 2018) is a patient-based healthcare system in which doctor, hospitals, patients are connected to each other by using IoT, cloud computing, and fog computing. This e-health service of IoT plays an important role in providing better healthcare services such as mobile healthcare, assisted living, e-medicine care, early warning systemsdda to the patients. IoT plays an important role in bioinformatics-based healthcare (Chang, 2018) for the analysis and visualization of tumors and genes (Chang, 2018) that contributes to the development of cancer.

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