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Fig. 2. Total number of publications appearing in the top 20 results for the six queries. The number associated with each bar refers to the average ranking of the publications in the group. Table 1

Figure 2 Total number of publications appearing in the top 20 results for the six queries. The number associated with each bar refers to the average ranking of the publications in the group. Table 1

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The unique set of publications was further filtered content-wise 1.e. whether the publication has pertinent material regarding wireless sen- sor networks or Internet of Things solution/s for smart home and/or smart grid. First a number of papers were excluded based on the con- tent of their abstract. Next, we considered the whole text of the re- maining papers and retained only those in line with our review. The final remaining papers were analyzed in-depth. The finding is that the papers can be semantically divided in two main categories: WSN so- lutions and IoT concepts. Fig. 1. Interest over time according to Google trends since 2004 for terms Internet of Things, Smart Grid and Smart Home. This section presents the methodology used in the paper in or- der to select the most appropriate recent developments as published in the literature covering the topics of Internet of Things, smart grid, and smart home. The literature was searched using the online service Google Scholar (GS) (https://scholar.google.com/). The main advan- tages of using GS as opposed to other similar resources like Scopus
The unique set of publications was further filtered content-wise 1.e. whether the publication has pertinent material regarding wireless sen- sor networks or Internet of Things solution/s for smart home and/or smart grid. First a number of papers were excluded based on the con- tent of their abstract. Next, we considered the whole text of the re- maining papers and retained only those in line with our review. The final remaining papers were analyzed in-depth. The finding is that the papers can be semantically divided in two main categories: WSN so- lutions and IoT concepts. Fig. 1. Interest over time according to Google trends since 2004 for terms Internet of Things, Smart Grid and Smart Home. This section presents the methodology used in the paper in or- der to select the most appropriate recent developments as published in the literature covering the topics of Internet of Things, smart grid, and smart home. The literature was searched using the online service Google Scholar (GS) (https://scholar.google.com/). The main advan- tages of using GS as opposed to other similar resources like Scopus
Potential IoT applications for smart grid.
Potential IoT applications for smart grid.
Number of publications found by GS engine for different queries.
Number of publications found by GS engine for different queries.
In this subsection we present relevant attempts from the literature as identified by our methodology. The papers discussed here seman- tically fall in a category regarding near IoT solutions for smart home, mainly from the neighboring fields of wireless sensor networks, home automation, and smart grid.
In this subsection we present relevant attempts from the literature as identified by our methodology. The papers discussed here seman- tically fall in a category regarding near IoT solutions for smart home, mainly from the neighboring fields of wireless sensor networks, home automation, and smart grid.
Fig. 4. Multi level loT framework for smart home. Third party applications are developed using the cloud data (Gubbi et al., 2013). Other terms that are interchangeably used are business applications, industry oriented applications or user-specific IoT ap- plication. Namely, third party application developers get data from the cloud (private or public) and use this data to deliver solu- Each node in the home WSN is considered a smart device and has moderate computation and communication capabilities. The home hub can be any one device (smart meter, PC, tablet or smartphone) that has some data storage capacity, can perform local processing and can communicate with devices outside the home WSN. In the case of smart residential complexes or smart buildings, the counterpart of the home hub is identified as residential sink or residential hub. The res- idential hub needs to have an additional feature, as compared to the home hub, which is that it is responsible for managing data from/to shared distributed production sources. This is rather important, as re-
Fig. 4. Multi level loT framework for smart home. Third party applications are developed using the cloud data (Gubbi et al., 2013). Other terms that are interchangeably used are business applications, industry oriented applications or user-specific IoT ap- plication. Namely, third party application developers get data from the cloud (private or public) and use this data to deliver solu- Each node in the home WSN is considered a smart device and has moderate computation and communication capabilities. The home hub can be any one device (smart meter, PC, tablet or smartphone) that has some data storage capacity, can perform local processing and can communicate with devices outside the home WSN. In the case of smart residential complexes or smart buildings, the counterpart of the home hub is identified as residential sink or residential hub. The res- idential hub needs to have an additional feature, as compared to the home hub, which is that it is responsible for managing data from/to shared distributed production sources. This is rather important, as re-
Home appliances, lights, or sensors attached to production or trans- mission lines in a smart grid system can be considered smart ob- jects. They can sense, actuate, process data and communicate. In or- In the future, when full interoperability among smart devices is achieved, it is expected that hubs will be superfluous in the model. Fig. 5. General smart home management model.
Home appliances, lights, or sensors attached to production or trans- mission lines in a smart grid system can be considered smart ob- jects. They can sense, actuate, process data and communicate. In or- In the future, when full interoperability among smart devices is achieved, it is expected that hubs will be superfluous in the model. Fig. 5. General smart home management model.
Basic features of ZigBee, Z-Wave and Insteon.
Basic features of ZigBee, Z-Wave and Insteon.
Capabilities of IoT parts for smart home management system. Table 5
Capabilities of IoT parts for smart home management system. Table 5
Number of publications according to Google Scholar. Table 3
Number of publications according to Google Scholar. Table 3
Interoperability features of Insteon, X10, Z-Wave and ZigBee.
Interoperability features of Insteon, X10, Z-Wave and ZigBee.
Related topics:
Future Internet ArchitectureSurvey Research (Research Methodology)Future InternetNetwork Protocols and ArchitecturesSmart Home TechnologySmart HomeEnergy Efficient Protocols in Wireless Sensor NetworksSmart HomesDevice-to-Device CommunicationMicrogrids and Smart Grids
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