Resource Allocation for Edge Computing without Using Cloud Center in Smart Home Environment: A Pricing Approach

Recently, more and more smart homes have become one of important parts of home infrastructure. However, most of the smart home applications are not interconnected and remain isolated. They use the cloud center as the control platform, which increases the risk of link congestion and data security. Thus, in the future, smart homes based on edge computing without using cloud center become an important research area. In this paper, we assume that all applications in a smart home environment are composed of edge nodes and users. In order to maximize the utility of users, we assume that all users and edge nodes are placed in a market and formulate a pricing resource allocation model with utility maximization. We apply the Lagrangian method to analyze the model, so an edge node (provider in the market) allocates its resources to a user (customer in the market) based on the prices of resources and the utility related to the preference of users. To obtain the optimal resource allocation, we propose a pricing-based resource allocation algorithm by using low-pass filtering scheme and conform that the proposed algorithm can achieve an optimum within reasonable convergence times through some numerical examples.

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

Actuators ◽

10.3390/act10090241 ◽

2021 ◽

Vol 10 (9) ◽

pp. 241

Author(s):

Rongxu Xu ◽

Wenquan Jin ◽

Dohyeun Kim

Keyword(s):

Thermal Comfort ◽

Home Environment ◽

Smart Home ◽

Smart Homes ◽

Pso Algorithm ◽

Edge Computing ◽

Comfort Level ◽

Optimization Scheme ◽

Ongoing Research ◽

Smart Home Environment

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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Security in Smart Home Environment

Wireless Technologies for Ambient Assisted Living and Healthcare ◽

10.4018/978-1-61520-805-0.ch010 ◽

2010 ◽

pp. 170-191 ◽

Cited By ~ 9

Author(s):

Georgios Mantas ◽

Dimitrios Lymberopoulos ◽

Nikos Komninos

Keyword(s):

Home Environment ◽

Smart Home ◽

Information Technologies ◽

Smart Homes ◽

Home Environments ◽

Security Issues ◽

Smart Home Environment ◽

Household Members ◽

Networking Technologies ◽

Smart Home Environments

This chapter presents the concept of Smart Home, describes the Smart Home networking technologies and discusses the main issues for ensuring security in a Smart Home environment. Nowadays, the integration of current communication and information technologies within the dwelling has led to the emergence of Smart Homes. These technologies facilitate the building of Smart Home environments in which devices and systems can communicate with each other and can be controlled automatically in order to interact with the household members and improve the quality of their life. However, the nature of Smart Home environment, the fact that it is always connected to the outside world via Internet and the open security back doors derived from the household members raise many security concerns. Finally, by reviewing the existing literature regarding Smart Homes and security issues that exist in Smart Home environments, the authors envisage to provide a base to broaden the research in Smart Home security.

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A Novel SINR-Based Cooperative Radio Resource Allocation Mechanism (SBC-RRAM) for LTE/Wi-Fi Radio Access System in Smart Home Environment

Lecture Notes in Electrical Engineering - Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017) ◽

10.1007/978-981-10-8234-4_28 ◽

2018 ◽

pp. 321-331

Author(s):

Bollampally Joy Persis ◽

Sakuru K. L. V. Sai Prakash

Keyword(s):

Resource Allocation ◽

Home Environment ◽

Smart Home ◽

Radio Resource Allocation ◽

Radio Resource ◽

Allocation Mechanism ◽

Access System ◽

Radio Access ◽

Smart Home Environment ◽

Resource Allocation Mechanism

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Security management in smart home environment

10.21203/rs.3.rs-323709/v1 ◽

2021 ◽

Author(s):

Mary Gladence ◽

Maria Anu V ◽

Revathy S ◽

Jeyanthi P

Keyword(s):

Home Environment ◽

Smart Home ◽

General Procedure ◽

Smart Homes ◽

Automatic Process ◽

Police Station ◽

The People ◽

Smart Home Environment ◽

Crime Detection ◽

Cctv Camera

Abstract A Smart Home Environment (SHE) comprises various luxurious things which makes us very comfortable to live our lives happily and securely. The only problem that smart homes are facing is “SECURITY”. Security for smart homes is the biggest task to achieve. For this purpose, this work is to build a product that provides the security for the smart homes automatically when the crime is going to happen. In general case, if any crime had taken place in any smart home, the general procedure of investigation will take place i.e. the people will complain to the police and the police will visit the place and after that he will observe the surroundings clearly. In order to pull up the clues if any, he will watch the CCTV footage, consult the nearby people in-order to draw some facts and then FIR will be filed. In order to get rid of this time-consuming process, the automatic crime detection is proposed. Here malware practices are identified, when a person attempts crime activity. This type of automatic process of detection of crime will ensure a complete security for the smart homes. We will track the CCTV camera pictures when the thief is trying to commit a crime and the information along with the pictures will be sent to the fog server and the fog server will analyze whether the person is doing crime or not. In case if a fog server had identified the person as a crime person or a thief then it automatically sends the information to the near- by police station and as well as owners of the house and then provides security for the smart homes

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