A robotized wireless sensor network based on MQTT cloud computing

Ahmed, Sevil; Topalov, Andon V.; Shakev, Nikola

doi:10.1109/ecmsm.2017.7945897

Cited by 15 publications

(11 citation statements)

References 7 publications

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“…Among all the different messaging systems, MQTT is arguably the most used by IoT and WSN applications because of being so lightweight that it can be implemented in resource-constrained devices like the ones usually found in HAS. Specifically, MQTT can be found in applications based on low-power sensors for smartwatches [ 77 ], in robotics [ 78 ], healthcare [ 79 ] or optical camera communications [ 80 ]. In the field of home automation, MQTT has been used in different applications to control lights [ 81 ], to monitor ambient assisted living parameters [ 82 ], for home energy monitoring [ 83 ], or for the general management of a smart home [ 46 , 84 ].…”

Section: Related Workmentioning

confidence: 99%

Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes

Froiz-Míguez

Fernández‐Caramés

Fraga‐Lamas

et al. 2018

Sensors

181

103

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In recent years, the improvement of wireless protocols, the development of cloud services and the lower cost of hardware have started a new era for smart homes. One such enabling technologies is fog computing, which extends cloud computing to the edge of a network allowing for developing novel Internet of Things (IoT) applications and services. Under the IoT fog computing paradigm, IoT gateways are usually utilized to exchange messages with IoT nodes and a cloud. WiFi and ZigBee stand out as preferred communication technologies for smart homes. WiFi has become very popular, but it has a limited application due to its high energy consumption and the lack of standard mesh networking capabilities for low-power devices. For such reasons, ZigBee was selected by many manufacturers for developing wireless home automation devices. As a consequence, these technologies may coexist in the 2.4 GHz band, which leads to collisions, lower speed rates and increased communications latencies. This article presents ZiWi, a distributed fog computing Home Automation System (HAS) that allows for carrying out seamless communications among ZigBee and WiFi devices. This approach diverges from traditional home automation systems, which often rely on expensive central controllers. In addition, to ease the platform’s building process, whenever possible, the system makes use of open-source software (all the code of the nodes is available on GitHub) and Commercial Off-The-Shelf (COTS) hardware. The initial results, which were obtained in a number of representative home scenarios, show that the developed fog services respond several times faster than the evaluated cloud services, and that cross-interference has to be taken seriously to prevent collisions. In addition, the current consumption of ZiWi’s nodes was measured, showing the impact of encryption mechanisms.

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Section: Related Workmentioning

confidence: 99%

Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes

Froiz-Míguez

Fernández‐Caramés

Fraga‐Lamas

et al. 2018

Sensors

181

103

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“…Dengan demikian protokol MQTT dapat diimplementasikan pada perangkat dengan sumber daya komputasi yang terbatas [3]. Protokol MQTT dapat menunjang fasilitias komunikasi jaringan WSN dengan menggunakan jenis komunikasi publish/subscribe tanpa membebani node sensor yang berjalan [8].…”

Section: Pendahuluanunclassified

Rancang Bangun Control dan Monitoring Sensor Node WSN Menggunakan Protokol Message Queue Telemetry Transport (MQTT)

Prasetyo

Faiqurahman

Sari

2020

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The WSN network is increasingly gaining attention because of the potential for new and attractive solutions in the field of industrial automation, asset processing, environmental preparation and others. But there are some problems in building the WSN network. Sensor nodes must manage small, cost-effective, low-resource, node sensors must be managed properly with WSN networks Managing WSN networks, can be done by controlling sensor nodes such as giving commands to data transmission activities and monitoring to determine the condition of sensor nodes. The MQTT protocol with the type of publishing / subscription communication is designed with characteristics similar to the characteristics of the WSN network, which are simple, lightweight, energy efficient and easy to implement.In this study, a server will be implemented that can control and monitor the sensors of the WSN network node using the MQTT protocol. Then RTT parameters are used, Qo parameters include Delay, Jitter, Throughput, Packet Loss and sensor node memory condition parameters when using the MQTT protocol. The RTT and QoS scenarios use variations in data size of 16,32,48,64,80 and 96 bytes. Monitoring memory nodes, performing for 1 minute with a total of 30 data transmissions. The RTT parameter testing results are quite stable. QoS testing is very good with stable delay, jitter, increasing throughput, and 0% of data lost when packet loss testing. The Test Memory node sensor, shows erratic results.

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“…VIA WIRELESS SENSOR NETWORK Wireless sensor networks (WSN) are widely used for the practical implementation of multi-agent systems, and the addition of mobile robots to the WSN structure is a wellobserved trend [36]. Robots that are active doers in a multiagent robotic system (MARS) can provide flexibility when installing network sensors and realizing active data acquisition, since they can perform various operations and interact with the environment [36], [5].…”

Section: Realization Of Multi-agent Robotic Systemmentioning

confidence: 99%

Towards Blockchain-based Multi-Agent Robotic Systems: Analysis, Classification and Applications

Afanasyev,

Kolotov,

Rezin

et al. 2019

Preprint

Self Cite

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Decentralization, immutability and transparency make of Blockchain one of the most innovative technology of recent years. This paper presents an overview of solutions based on Blockchain technology for multi-agent robotic systems, and provide an analysis and classification of this emerging field. The reasons for implementing Blockchain in a multi-robot network may be to increase the interaction efficiency between agents by providing more trusted information exchange, reaching a consensus in trustless conditions, assessing robot productivity or detecting performance problems, identifying intruders, allocating plans and tasks, deploying distributed solutions and joint missions. Blockchain-based applications are discussed to demonstrate how distributed ledger can be used to extend the number of research platforms and libraries for multi-agent robotic systems.

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A robotized wireless sensor network based on MQTT cloud computing

Cited by 15 publications

References 7 publications

Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes

Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes

Rancang Bangun Control dan Monitoring Sensor Node WSN Menggunakan Protokol Message Queue Telemetry Transport (MQTT)

Towards Blockchain-based Multi-Agent Robotic Systems: Analysis, Classification and Applications

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