From Insight to Impact: Building a Sustainable Edge Computing Platform for Smart Homes

Chang, Xiaomin; Li, Wei; Xia, Chunqiu; Ma, Jin; Cao, Junwei; Khan, Samee U.; Zomaya, Albert Y.

doi:10.1109/padsw.2018.8644647

Cited by 17 publications

(8 citation statements)

References 21 publications

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“…Besides, using edge computing instead of cloud to offloading tasks to reduce bandwidth and response time. To satisfy the smart home application and power control, the study [28] proposes a sustainable edge computingbased power controlling framework. the purpose of this framework is to reduce the electric cost while making full use of renewable energy.…”

Section: Related Workmentioning

confidence: 99%

Environment Optimization Scheme Based on Edge Computing Using PSO for Efficient Thermal Comfort Control in Resident Space

Jin

Kim

2021

Actuators

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With the fast development of infrastructure and communication technology, the Internet of Things (IoT) has become a promising field. Ongoing research is looking at the smart home environment as the most promising sector that adopts IoT and cloud computing to improve resident live experiences. The IoT and cloud-dependent smart home services related to recent researches have security, bandwidth issues, and a lack of concerning thermal comfort of residents. In this paper, we propose an environment optimization scheme based on edge computing using Particle Swarm Optimization (PSO) for efficient thermal comfort control in resident space to overcome the aforementioned limitations of researches on smart homes. The comfort level of a resident in a smart home is evaluated by Predicted Mean Vote (PMV) that represents the thermal response of occupants. The PSO algorithm combined with PMV to improve the accuracy of the optimization results for efficient thermal comfort control in a smart home environment. We integrate IoT with edge computing to upgrade the capabilities of IoT nodes in computing power, storage space, and reliable connectivity. We use EdgeX as an edge computing platform to develop a thermal comfort considering PMV-based optimization engine with a PSO algorithm to generate the resident’s friendly environment parameters and rules engine to detects the environmental change of the smart home in real-time to maintain the indoor environment thermal comfortable. For evaluating our proposed system that maintenance resident environment with thermal comfort index based on PSO optimization scheme in smart homes, we conduct the comparison between the real data with optimized data, and measure the execution times of optimization function. From the experimental results, when our proposed system is applied, it satisfies thermal comfort and consumes energy more stably.

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Section: Related Workmentioning

confidence: 99%

Environment Optimization Scheme Based on Edge Computing Using PSO for Efficient Thermal Comfort Control in Resident Space

Jin

Kim

2021

Actuators

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“…4) Smart Home: Currently, an enormous amount of services are installed on the edge of the network from the cloud due to the fact that processing data at the edge can decrease response time and lower throughput costs for applications such as systems in smart homes in order to help improve the living comfort of residents [102]. Various features are designed for smart homes such as improved surveillance, smart controls, and smart meters.…”

Section: Mobile Edge Computingmentioning

confidence: 99%

Towards 6G Internet of Things: Recent Advances, Use Cases, and Open Challenges

Qadir¹,

Munawar²,

Saeed³

et al. 2021

Preprint

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Smart services based on the Internet of Everything (IoE) are gaining considerable popularity due to the everincreasing demands of wireless networks. This demands the appraisal of the wireless networks with enhanced properties as next-generation communication systems. Although 5G networks show great potential to support numerous IoE based services, it is not adequate to meet the complete requirements of the new smart applications. Therefore, there is an increased demand for envisioning the 6G wireless communication systems to overcome the major limitations in the existing 5G networks. Moreover, incorporating artificial intelligence in 6G will provide solutions for very complex problems relevant to network optimization. Furthermore, to add further value to the future 6G networks, researchers are investigating new technologies, such as THz and quantum communications. The requirements of future 6G wireless communications demand to support massive data-driven applications and the increasing number of users. This paper presents recent advances in the 6G wireless networks, including the evolution from 1G to 5G communications, the research trends for 6G, enabling technologies, and state-of-the-art 6G projects.

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“…Specifically, the authors formulated the problem as the curse-of-dimensionality and solved it via dynamic programming techniques. In [29], authors designed an energy management strategy of edge computing. The scheme enabled edge computing while reducing the energy consumption up to 86% in a smart home.…”

Section: Related Workmentioning

confidence: 99%

Efficient Computation Offloading in Edge Computing Enabled Smart Home

Zhang

You

et al. 2021

IEEE Access

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Mobile edge computing which provides computing capabilities at the edge of the radio access network can help smart home reduce response time. However, the limited computing capacity of edge servers is the bottlenecks for the development of edge computing. We integrate cloud computing and edge computing in the Internet of Things to expand the capabilities. Nevertheless, the cost of leasing computing resources has been seldom considered. In this paper, we study the joint transmission power and resource allocation to minimize the users' overhead which is measured by the sum of energy consumption and cost leasing servers. We formulate the problem as a Mixed Integer Linear Programming which is NPhard and present the Branch-and-Bound to solve it. Due to high complexity, a learning method is proposed to accelerate the algorithm. The branching policy can be learned to reduce the time-cost of the Branch-and-Bound algorithm. Simulation results show our approach can improve the Branch-and-Bound efficiency and performs closely to the traditional branching scheme.

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From Insight to Impact: Building a Sustainable Edge Computing Platform for Smart Homes

Cited by 17 publications

References 21 publications

Environment Optimization Scheme Based on Edge Computing Using PSO for Efficient Thermal Comfort Control in Resident Space

Environment Optimization Scheme Based on Edge Computing Using PSO for Efficient Thermal Comfort Control in Resident Space

Towards 6G Internet of Things: Recent Advances, Use Cases, and Open Challenges

Efficient Computation Offloading in Edge Computing Enabled Smart Home

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