Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

Mendes, Tiago D. P.; Godina, Radu; Rodrigues, Eduardo M. G.; Matias, João C. O.; Catalão, João P.S.

doi:10.3390/en8077279

Cited by 138 publications

(48 citation statements)

References 80 publications

(93 reference statements)

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“…Commonly, the application areas are broadly categorized into four groups: entertainment, energy, security, and healthcare [9]. Entertainment aims to maximize the occupants' comfort and convenience by providing personalized amusement content and social communication services.…”

Section: Smart Home Technologymentioning

confidence: 99%

On Privacy and Security Challenges in Smart Connected Homes

Bugeja

Jacobsson

Davidsson

2016

2016 European Intelligence and Security Informatics Conference (EISIC)

150

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-Smart homes have become increasingly popular for IoT products and services with a lot of promises for improving the quality of life of individuals. Nevertheless, the heterogeneous, dynamic, and Internet-connected nature of this environment adds new concerns as private data becomes accessible, often without the householders' awareness. This accessibility alongside with the rising risks of data security and privacy breaches, makes smart home security a critical topic that deserves scrutiny. In this paper, we present an overview of the privacy and security challenges directed towards the smart home domain. We also identify constraints, evaluate solutions, and discuss a number of challenges and research issues where further investigation is required.

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Section: Smart Home Technologymentioning

confidence: 99%

On Privacy and Security Challenges in Smart Connected Homes

Bugeja

Jacobsson

Davidsson

2016

2016 European Intelligence and Security Informatics Conference (EISIC)

150

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show abstract

“…Natural reserves are fast depleting, and energy demand is soaring; undoubtedly due to industrialisation and population growth. While exploration of new deposits (hydrocarbon) is a possibility, it is certainly not sustainable [1]. This has given rise to new global initiatives aimed at (i) improving energy efficiency and (ii) exploring more renewable uptake.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of 6LoPLC for Home Energy Management Systems

et al. 2016

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Ubiquitous connectivity is already transforming residential dwellings into smart homes. As citizens continue to embrace the smart home paradigm, a new generation of low-rate and low-power communication systems is required to leverage the mass market presented by energy management in homes. Although Power Line Communication (PLC) technology has evolved in the last decade, the adaptation of PLC for constrained networks is not fully charted. By adapting some features of IEEE 802.15.4 and IPv6 over Low-power Wireless Personal Area Network (6LoWPAN) into power lines, this paper demonstrates a low-rate, low-power PLC system over the IPv6 network (referred to as 6LoPLC), for Home Energy Management System (HEMS) applications. The overall idea is to provide a framework for assessing various scenarios that cannot be easily investigated with the limited number of evaluation hardware available. In this respect, a network model is developed in NS-3 (Version 21) to measure several important characteristics of the designed system and then validated with experimental results obtained using the Hanadu evaluation kits. Following the good agreement between the two, the NS-3 model is utilised to investigate more complex scenarios and various use-cases, such as the effects of impulsive noise, the number of nodes and packet size on the latency and Bit Error Rate (BER) performances. We further demonstrate that for different network and application configurations, optimal data sizes exist. For instance, the results reveal that in order to guarantee 99% system reliability, the HEMS application data must not exceed 64 bytes. Finally, it is shown that with impulsive noise in a HEMS network comprising 50 appliances, provided the size of the payload does not exceed 64 bytes, monitoring and control applications incur a maximum latency of 238.117 ms and 248.959 ms, respectively; both of which are within acceptable limits.

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“…• as shown in [5], the transmission rates of all three protocols are suitable for all common applications in a smart home; it is useful to remark that the transmission rate of the considered protocols are 1 Mbps for BLE, 250 kbps (2.4 GHz) for IEEE 802.15.4 and 11-65-450 (IEEE 802.11 n) Mbps for IEEE 802.11.…”

Section: Ble Vs Other Wireless Solutionsmentioning

confidence: 99%

“…However, the integration of several electrical devices in the household is an open challenge because of the absence of an inexpensive and standardized communication protocol between them [5], even thanks to the introduction and the use of renewable energy [6]. Wireless Networks (WNs) are getting more integrated to our daily lives, recently in smart homes WNs are using to increase the inhabitant comfort [7] and they can receive the user feedbacks in order to meet the itself comfort.…”

Section: Introductionmentioning

confidence: 99%

A Solution Based on Bluetooth Low Energy for Smart Home Energy Management

Collotta

Pau

2015

Energies

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Abstract:The research and the implementation of home automation are getting more popular because the Internet of Things holds promise for making homes smarter through wireless technologies. The installation of systems based on wireless networks can play a key role also in the extension of the smart grid towards smart homes, that can be deemed as one of the most important components of smart grids. This paper proposes a fuzzy-based solution for smart energy management in a home automation wireless network. The approach, by using Bluetooth Low Energy (BLE), introduces a Fuzzy Logic Controller (FLC) in order to improve a Home Energy Management (HEM) scheme, addressing the power load of standby appliances and their loads in different hours of the day. Since the consumer is involved in the choice of switching on/off of home appliances, the approach introduced in this work proposes a fuzzy-based solution in order to manage the consumer feedbacks. Simulation results show that the proposed solution is efficient in terms of reducing peak load demand, electricity consumption charges with an increase comfort level of consumers. The performance of the proposed BLE-based wireless network scenario are validated in terms of packet delivery ratio, delay, and jitter and are compared to IEEE 802.15.4 technology.

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Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

Cited by 138 publications

References 80 publications

On Privacy and Security Challenges in Smart Connected Homes

On Privacy and Security Challenges in Smart Connected Homes

Experimental Study of 6LoPLC for Home Energy Management Systems

A Solution Based on Bluetooth Low Energy for Smart Home Energy Management

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