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Title Implementation MQTT-SN Protocol on Smart City Application based Wireless Sensor Network
ID_Doc 45727
Authors Al Rasyid, MUH; Astika, F; Fikri, F
Title Implementation MQTT-SN Protocol on Smart City Application based Wireless Sensor Network
Year 2019
Published
DOI 10.1109/icsitech46713.2019.8987546
Abstract Many smart city applications have implemented the Wireless Sensor Network (WSN) as a solution to solve urban problems. WSN has characteristics with an energy source that must remain lit, the ability to overcome node failures, node heterogeneity, ability to withstand extreme environmental conditions, mobility of nodes and dynamic network topology, scalability for large-scale deployment. However, there are various kinds of machine to machine (M2M) protocol that are used on Smart City based on WSN to connect between sensor devices or the internet. To choose the appropriate protocol and small packet loss probability is not easy. This research aims to implement the Message Queuing Telemetry Transport-Sensor Network (MQTT-SN) Protocol to overcome the limitations of the WSN-based protocol on Smart City sensors. MQTT-SN is an M2M connectivity protocol that is designed for sensor networks that are simple, lightweight, and easy to implement, so they can support and monitor small devices with wider data transmission. Implementation was built on the waspmote hardware using the MQTT-SN protocol for sensor communication with the server. Data transmission uses the XBee module to optimize and still be done in real time. The implementation uses a star topology and analyzes the Quality of Service (QoS) performance and power consumption used on the sensor nodes. Based on the analysis results, there is no packet loss when using the MQTT-SN, HTTP, and CoAP protocols. Temperature sensor, light sensor, and dust sensor data can be monitored remotely using the MQTT-SN protocol.
Author Keywords Smart city; Protocol; MQTT; MQTT-SN; Sensor
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000542989200002
WoS Category Computer Science, Information Systems; Computer Science, Theory & Methods
Research Area Computer Science
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