Please wait ...
0% Complete
Home
/
14th International Conference on Computer and Knowledge Engineering
Smart Home Connectivity: Identifying the Best IoT Application Layer Protocols
Authors :
Hossein Shahinzadeh
1
Zohreh Azani
2
Sundus F. Al-Hameedawi
3
S. Mohammadali Zanjani
4
Saiedeh Mehrabani-Najafabadi
5
Mohammadreza Hemmati
6
1- Amirkabir University of Technology (Tehran Polytechnic)
2- Amirkabir University of Technology (Tehran Polytechnic)
3- University of Shahrekord
4- Najafabad Branch, Islamic Azad University, Najafabad, Iran
5- Najafabad Branch, Islamic Azad University, Najafabad, Iran
6- Najafabad Branch, Islamic Azad University, Najafabad, Iran
Keywords :
Smart Home،Internet of Things،Application Layer،Protocol،HTTP،MQTT،CoAP،WebSocket،DDS،XMPP
Abstract :
The Internet of Things (IoT) bridges the physical and digital worlds by utilizing sensors, actuators, communication technologies, computing power, and data analytics to enable precise monitoring and control of the surrounding environment. Leveraging the data derived from IoT can lead to optimal decision-making for system management. In smart homes, IoT has ushered in a new generation known as connected homes. Given the diverse range of protocols available for the IoT application layer, selecting the appropriate protocol to connect smart home devices (based on their specific requirements) to the internet gateway is a critical issue. This paper first identifies the key factors influencing the choice of application layer protocols in smart homes. Then, it examines and analyzes some of the most commonly used IoT application layer protocols, including HTTP, MQTT, CoAP, WebSocket, DDS, XMPP, AMQP, STOMP, LwM2M, Zigbee, Z-Wave, BLE, and 6LoWPAN, based on these factors. Finally, recommendations for protocol selection in various sections of a smart home are provided based on the analysis conducted.
Papers List
List of archived papers
Detecting Non-Spherical Clusters Using Modified CURE Algorithm
Arezou Safdari - Pedram Salehpour
Evolutionary Approach to GAN Hyperparameter Tuning: Minimizing Discriminator and Generator Loss Functions
Sajad Haghzad Klidbary - Anahita Babaei - Ramin Ghorbani
Efficient T-Count Fault-tolerant Quantum Clifford+T Multiplexer
Negin Mashayekhi - Shekoofeh Moghimi - Mohammad Reza Reshadinezhad
A Hybrid Architecture to Optimize Persian FAQ Retrieval using Semantic Similarity Search
Seyed Amir Mohammad Hosseini - Fatemeh Dehbashi - Setare Kahnemuee - Mohsen Kahani - Morteza Fardin
Improvement of Credit Scoring by LSTM Autoencoder Model
Milad Sattari Maleki - Seyedeh Niusha Motevallian - Faezehsadat Hosseini - Mohammad Sabokrou - Hamidreza Soltanalizadeh Maleki
Reliability Evaluation of 4:2 Compressors Based on Hammock Networks
Farshad Safaei - Mohammad mahdi Emadi Kouchak - Sara Talebpour
A supervised approach using transformer networks for the detection of turning-related anomalies in urban intersections
Mohammad Mahdi HajiAbadi - Manoochehr Nahvi
Improving Motor Imagery Classification in BCI Systems Using EMD and Multi-Layer CNNs
Reza Arghand - Ali Chaibakhsh - Moein Radman
Deep Learning Feature Extraction for COVID-19 Detection Algorithm using Computerized Tomography Scan
Maisarah Mohd Sufian - Ervin Gubin Moung - Chong Joon Hou - Ali Farzamnia
Weakly Supervised Convolutional Neural Network for Automatic Gleason Grading of Prostate Cancer
Maryam Kamareh - Mohammad Sadegh Helfroush - Kamran Kazemi
more
Samin Hamayesh - Version 44.8.0