ThingsLocate: A ThingSpeak-Based Indoor Positioning Platform for Academic Research on Location-Aware Internet of Things

Nardis, Luca De; Caso, Giuseppe; Benedetto, Maria-Gabriella Di

doi:10.3390/technologies7030050

Cited by 11 publications

(11 citation statements)

References 25 publications

(39 reference statements)

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“…The ThingSpeak is an open-source IoT application (IoT) and an Application Programing Interface (API) that allows the storage and recovery of data through internet or by Local Area Network through the HTTP and MQTT protocol [40].…”

Section: Platform Of Thingspeakmentioning

confidence: 99%

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A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy

et al. 2021

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This paper presents a novel scheduling scheme for the real-time home energy management systems based on Internet of Energy (IoE). The scheme is a multi-agent method that considers two chief purposes including user satisfaction and energy consumption cost. The scheme is designed under environment of microgrid. The user impact in terms of energy cost savings is generally significant in terms of system efficiency. That is why domestic users are involved in the management of domestic appliances. The optimization algorithms are based on an improved version of the rainfall algorithm and the salp swarm algorithm. In this paper, the Time of Use (ToU) model is proposed to define the rates for shoulder-peak and on-peak hours. A two-level communication system connects the microgrid system, implemented in MATLAB, to the cloud server. The local communication level utilizes IP/TCP and MQTT and is used as a protocol for the global communication level. The scheduling controller proposed in this study succeeded the energy saving of 25.3% by using the salp swarm algorithm and saving of 31.335% by using the rainfall algorithm.

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Section: Platform Of Thingspeakmentioning

confidence: 99%

“…Three MATLAB variables store RSSI data in the applications [40]: The algorithm k Nearest Neighbor (kNN), the algorithm k is actually implemented on the platform [40].…”

mentioning

confidence: 99%

A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy

et al. 2021

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“…In (4), n is the number of target nodes and m is the number of reference nodes. The nonlinear regression model is used to estimate the distances from (3). Once all distances are obtained using regression, it is pertinent to use a systematic way to provide all distances to the algorithm.…”

Section: Proposed Approach 21 a Descriptionmentioning

confidence: 99%

“…A local coordinate system was established such that both x and y coordinates increase by half feet i.e., each integer in the coordinate system is representative of two feet (0.6096 m). The coordinates of the three reference nodes on a local coordinate system are (0,0), (6,0), and (3,8) for both indoor and outdoor settings as shown in [23].…”

Section: B Real-time Experimental Studymentioning

confidence: 99%

“…Therefore, WSNs are becoming crucial, supported by increasing trends of digitalization [1]. This lays down the cornerstone of the concept of the Internet of Things (IoT), which is considered to be the next step in a digital society, whereby, multi-purpose devices share a networking platform to communicate with each other in a common language [2,3]. Throughout a WSN, sensor nodes are continuously transmitting and receiving the information from the base station and are widely used in the secured networks serving military, healthcare, environment monitoring, and smart home systems [4].…”

Section: Introductionmentioning

confidence: 99%

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Range-Based Localization of a Wireless Sensor Network for Internet of Things Using Received Signal Strength Indicator and the Most Valuable Player Algorithm

Alanezi¹,

Bouchekara²,

Javaid³

2021

Technologies

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The localization of the nodes in wireless sensor networks is essential in establishing effective communication among different devices connected, within the Internet of Things. This paper proposes a novel method to accurately determine the position and distance of the wireless sensors linked in a local network. The method utilizes the signal strength received at the target node to identify its location in the localized grid system. The Most Valuable Player Algorithm is used to solve the localization problem. Initially, the algorithm is implemented on four test cases with a varying number of sensor nodes to display its robustness under different network occupancies. Afterward, the study is extended to incorporate actual readings from both indoor and outdoor environments. The results display higher accuracy in the localization of unknown sensor nodes than previously reported.

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ThingsLocate: A ThingSpeak-Based Indoor Positioning Platform for Academic Research on Location-Aware Internet of Things

Cited by 11 publications

References 25 publications

A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy

A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy

Range-Based Localization of a Wireless Sensor Network for Internet of Things Using Received Signal Strength Indicator and the Most Valuable Player Algorithm

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