scholarly journals Adaptive Multipath Selection-Based Markov Chain in the Heterogeneous Internet of Things

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Huan Wu ◽  
Xiangming Wen ◽  
Zhaoming Lu ◽  
Yao Nie ◽  
Shuyang Huang
Keyword(s):  
Markov Chain ◽  
Internet Of Things ◽  
Optimal Path ◽  
End Users ◽  
System Model ◽  
Limiting Factor ◽  
Queuing Delay ◽  
Network Bandwidth ◽  
Power Line Carrier ◽  
The Internet Of Things

The Internet of Things (IoT) is a new heterogeneous system integrated by the various end users (sensors and terminals) with different technologies. However, the limiting factor is bandwidth in the IoT due to the exploding end users and the network bandwidth requirements. A novel IoT model, which integrates the power-line carrier (PLC) and the wireless network (WN), is proposed to solve the bandwidth problem from the architecture, especially in the areas lacking network facilities. In addition, we exploit an effective virtual layer (EVL) which allows the different end users to access the system model seamlessly. Then, the attractor selection algorithm based on Markov chain (MASA) is employed to select an optimal path among the PLC or WN. The simulation results demonstrate that the proposed system model has the smaller average queuing delay than other algorithms and makes the model more stable and robust.

Power Line Carrier-Based Networking Technology of the Internet of Things

2012 ◽  
Vol 516-517 ◽  
pp. 1414-1418 ◽  
Author(s):  
Hua Yin ◽  
Bin Fa Long ◽  
Nai Zhou Wang
Keyword(s):  
Internet Of Things ◽  
Radio Frequency ◽  
Power Line ◽  
The Internet ◽  
Application Technology ◽  
Basic Principles ◽  
Power Line Carrier ◽  
Networking Technology ◽  
The Internet Of Things

This article discussed the basic principles of the power line carrier application technology and an example scheme, The unique advantage of the power line carrier networking technology is applied in the Internet of things. The advantage of the application of the power line carrier in the difficult environment of radio frequency application and layout is pointed out.

The Rise of Big Data, Cloud, and Internet of Things

2018 ◽  
pp. 201-222 ◽  
Author(s):  
Reema Abdulraziq ◽  
Muneer Bani Yassein ◽  
Shadi Aljawarneh
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
End Users ◽  
Structured Data ◽  
The Internet ◽  
Huge Amount ◽  
Volume Velocity ◽  
The Cost ◽  
The Internet Of Things

Big data refers to the huge amount of data that is being used in commercial, industrial and economic environments. There are three types of big data; structured, unstructured and semi-structured data. When it comes to discussions on big data, three major aspects that can be considered as its main dimensions are the volume, velocity, and variety of the data. This data is collected, analysed and checked for use by the end users. Cloud computing and the Internet of Things (IoT) are used to enable this huge amount of collected data to be stored and connected to the Internet. The time and the cost are reduced by means of these technologies, and in addition, they are able to accommodate this large amount of data regardless of its size. This chapter focuses on how big data, with the emergence of cloud computing and the Internet of Things (IOT), can be used via several applications and technologies.

Best Practices

2021 ◽  
pp. 90-103
Author(s):  
Anchitaalagammai J. V. ◽  
Kavitha S. ◽  
Murali S. ◽  
Padmadevi S. ◽  
Shanthalakshmi Revathy J.
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Storage ◽  
Resource Constraints ◽  
End Users ◽  
The Internet ◽  
Technological Revolution ◽  
Access Control Policies ◽  
Wide Scale ◽  
The Internet Of Things

The internet of things (IoT) is rapidly changing our society to a world where every “thing” is connected to the internet, making computing pervasive like never before. It is increasingly becoming a ubiquitous computing service, requiring huge volumes of data storage and processing. Unfortunately, due to the lack of resource constraints, it tends to adopt a cloud-based architecture to store the voluminous data generated from IoT application. From a security perspective, the technological revolution introduced by IoT and cloud computing can represent a disaster, as each object might become inherently remotely hackable and, as a consequence, controllable by malicious actors. This chapter focus on security considerations for IoT from the perspectives of cloud tenants, end-users, and cloud providers in the context of wide-scale IoT proliferation, working across the range of IoT technologies. Also, this chapter includes how the organization can store the IoT data on the cloud securely by applying different Access control policies and the cryptography techniques.

scholarly journals An In-Networking Double-Layered Data Reduction for Internet of Things (IoT)

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 795 ◽  
Author(s):  
Waleed Ismael ◽  
Mingsheng Gao ◽  
Asma Al-Shargabi ◽  
Ammar Zahary
Keyword(s):  
Internet Of Things ◽  
Data Reduction ◽  
Specific Area ◽  
Base Station ◽  
Sensor Nodes ◽  
Data Filtering ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Network Bandwidth ◽  
The Internet Of Things

Due to the ever-increasing number and diversity of data sources, and the continuous flow of data that are inevitably redundant and unused to the cloud, the Internet of Things (IoT) brings several problems including network bandwidth, the consumption of network energy, cloud storage, especially for paid volume, and I/O throughput as well as handling huge amount of stored data in the cloud. These call for data pre-processing at the network edge before data transmission over the network takes place. Data reduction is a method for mitigating such problems. Most state-of-the-art data reduction approaches employ a single tier, such as gateways, or two tiers, such gateways and the cloud data center or sensor nodes and base station. In this paper, an approach for IoT data reduction is proposed using in-networking data filtering and fusion. The proposed approach consists of two layers that can be adapted at either a single tier or two tiers. The first layer of the proposed approach is the data filtering layer that is based on two techniques, namely data change detection and the deviation of real observations from their estimated values. The second layer is the data fusion layer. It is based on a minimum square error criterion and fuses the data of the same time domain for specific sensors deployed in a specific area. The proposed approach was implemented using Python and the evaluation of the approach was conducted based on a real-world dataset. The obtained results demonstrate that the proposed approach is efficient in terms of data reduction in comparison with Least Mean Squares filter and Papageorgiou’s (CLONE) method.

scholarly journals SPECIFICS OF IMPLEMENTATION OF CONTROL SYSTEMS BASED ON LORAWAN TECHNOLOGY

T-Comm ◽  
2020 ◽  
Vol 14 (9) ◽  
pp. 24-30
Author(s):  
Vitaly G. Dovbnya ◽  
◽  
Sergey N. Frolov ◽  
Konstantin P. Sulima ◽  
Alexey N. Schitov ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Control Systems ◽  
Main Element ◽  
The Internet ◽  
Area Network ◽  
Building Structures ◽  
Wide Area Network ◽  
Network Bandwidth ◽  
Network Server ◽  
The Internet Of Things

In the context of the rapid growth of various areas of the Internet of things, there is currently no unified approach to building networks based on low-power Wide-area Network (LPWAN) wireless networks, taking into account the general requirements for them as automated control systems (ACS). There are the following areas of use of the Internet of things: industry and production; transport and transportation; control of the technical condition of building structures, air quality, background noise and energy consumption; waste management; smart Parking and providing data on traffic jams; smart street lighting and use in everyday life. Networks based on LoRaWAN technology provide low-cost energy-efficient wireless communications for modern ACS in a variety of industries. It is cost-effective for designing hardware and software for telemetry and controlling, such as a system of control and monitoring engineering systems of buildings and facilities (SMES) and automated outdoor lighting control systems. The article presents a structural and functional analysis of approaches to the construction of hardware and software complex elements based on LoRаWAN, taking into account the specifics and logic of the SMES and ASUS. It also provides calculations of network bandwidth and capacity for a single LoRaWAN gateway in a different mode of operation of ACS. A parametric analysis of existing implementations was carried out to design the management server (SU), which is the main element of the LoRaWAN network. The results allowed to obtain seventeen indicators that determine the functionality of a network server (NS). Network server software development. Major structures and the mechanisms of interaction of its elements are determined during the process of designing the original implementation of NS software.

Research and Development on Secure System of EPC Internet of Things Based on RFID and WSN

2011 ◽  
Vol 474-476 ◽  
pp. 220-223
Author(s):  
Xin Xie ◽  
Ying Wu ◽  
Hong Lei Chen
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Communication Channel ◽  
Sensor Nodes ◽  
System Model ◽  
Wireless Sensor ◽  
Security Threats ◽  
Node Architecture ◽  
Frequency Identification ◽  
The Internet Of Things

Electronic Product Code (EPC) system and Radio-frequency Identification (RFID) play an important role in the Internet of things. We analyze the security threats which exist in the communication channel among RFID components, for this reason, an encryption mechanism which is added into it. And, hundreds of sensor nodes can form one Wireless Sensor Network (WSN) successfully, which, to a large extent, owes to the special node architecture. This paper proposes a secure EPC system model to ensure the security of the whole EPC system by implanting the components of RFID into WSN nodes.

Intelligent Logistics System Optimization Based on IoT and Fuzzy Algorithms

2019 ◽  
Vol 13 ◽  
Author(s):  
Yanyan Jiang ◽  
Shen Tian
Keyword(s):  
Internet Of Things ◽  
Optimal Path ◽  
Distance Matrix ◽  
System Optimization ◽  
Scientific Basis ◽  
Development Model ◽  
The Internet ◽  
Supply Chain System ◽  
Intelligent Logistics ◽  
The Internet Of Things

In order to improve the efficiency of transportation, this paper proposes an optimal design scheme of multi-objective scheduling system based on the Internet of Things. Under the influence of the Internet of Things, the model proposed in this paper promotes the visual management of logistics transportation, and provides the optimal route of logistics distribution route, and strengthens the intellectualization of enterprise supply chain system. With the Floyd intelligent logistics development model, the shortest distance matrix of A and the corresponding shortest intelligent path matrix of p and the intelligent path matrix of p between any two points are calculated. And find the matrix p of the optimal one relative to the optimal path. When faced with multiple tasks waiting for the distribution of the situation, we can use SWP intelligent logistics development model. By building a smart logistics information management mode, it can provide different users with corresponding intelligent data information inquiry service. The conclusions of this thesis can provide scientific basis and guidance for the decision-making of the intelligent distribution of logistics by senior managers in the enterprise.

scholarly journals Water Quality Monitoring System Using IOT

2020 ◽  
Vol 3 (1) ◽  
pp. 155-164
Author(s):  
Suruchi Pokhrel ◽  
Anisha Pant ◽  
Ritisha Gautam ◽  
Dinesh Baniya Kshatri
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Monitoring System ◽  
Distribution Systems ◽  
Water Quality Monitoring ◽  
End Users ◽  
Quality Monitoring ◽  
The Internet ◽  
Physical Parameters ◽  
The Internet Of Things

Water pollution is one of the growing issues in a developing country like Nepal. In the present scenario, we are usually thoughtlessly trusting the drinking water suppliers with our health. Even though the water is purified as well as checked in the central distribution systems, the supplier, along with the general public is unaware of the water quality that reaches the end-users. By focusing on these above issues, we propose a low-cost monitoring system that can monitor water quality such as pH (potential of Hydrogen) and conductivity on a timely basis using the Internet of Things. The water quality monitoring sensors sense the necessary physical parameters and convert them into equivalent electrical form, i.e. by providing certain voltage as an output corresponding to the respective physical quantity. This value is mapped to the respective water quality measure and is stored in a database through the microcontroller using the Internet of Things. This aids the suppliers to centralize the regular monitoring of water from various locations as well as the supply pure water to the end-users.

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