Modified Backscatter Communication Model for Wireless Communication Network Applications

The green communication and large-scale connection issues will be faced by the wireless communication networks with futuristic sixth generation (6G) technology. The radio-frequency (RF) and spectrum sources may be shared simultaneously to achieve optimal communication in these networks by means of backscatter devices (BD) that may function in constrained spectrums as well as the stringent energy scenarios of green Internet-of-things (IoT) by means of the proposed novel modified backscatter communication model (BCM). Unlicensed eavesdroppers may interfere with the BD due to its vulnerability caused by the wireless communication channels and their broadcasting nature. The intrusion of an unlicensed eavesdropper is detected in an efficient manner by means of the proposed BCM. The analytical derivations of intercept probability (IP) and outage probability (OP) are invoked to analyze the security and reliability of the proposed architecture. Under high main-to-eavesdropper ratio (MER) regime, the IP and under high signal-to-noise ratio (SNR) regime, the OP asymptotic behaviors are estimated additionally. Based on the results of performance evaluation, it is evident that there is a decrease in the security of BD with the increase in MER while there is a simultaneous increase in the legitimate user security. Various system parameters may be adjusted for optimizing the security and reliability performance trade-off. For diverse orders, the existence of error floors are indicated by the non-zero fixed constant of BD and the legitimate user’s OP when high SNR value is observed at the system.

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Prioritized Uplink Resource Allocation in Smart Grid Backscatter Communication Networks via Deep Reinforcement Learning

Electronics ◽

10.3390/electronics9040622 ◽

2020 ◽

Vol 9 (4) ◽

pp. 622

Author(s):

Zhixiang Yang ◽

Lei Feng ◽

Zhengwei Chang ◽

Jizhao Lu ◽

Rongke Liu ◽

...

Keyword(s):

Resource Allocation ◽

Communication Networks ◽

Smart Grids ◽

Wireless Sensors ◽

Green Technology ◽

Wireless Sensor ◽

Communication Model ◽

Backscatter Communication ◽

Exchange Information ◽

Business Requirements

With the rapid increase in the number of wireless sensor terminals in smart grids, backscattering has become a very promising green technology. By means of backscattering, wireless sensors can either reflect energy signals in the environment to exchange information with each other or capture the energy signals to recharge their batteries. However, the changing environment around wireless sensors, limited radio frequency and various service priorities in uplink communications bring great challenges in allocation resources. In this paper, we put forward a backscatter communication model based on business priority and cognitive network. In order to achieve optimal throughput of system, an asynchronous advantage actor-critic (A3C) algorithm is designed to tackle the problem of uplink resource allocation. The experimental results indicate that the presented scheme can significantly enhance overall system performance and ensure the business requirements of high-priority users.

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Decentralized Event-Triggered Online Adaptive Control of Unknown Large-Scale Systems Over Wireless Communication Networks

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2019.2959005 ◽

2020 ◽

Vol 31 (11) ◽

pp. 4907-4919 ◽

Cited By ~ 2

Author(s):

Hanguang Su ◽

Huaguang Zhang ◽

Xiaodong Liang ◽

Chong Liu

Keyword(s):

Adaptive Control ◽

Wireless Communication ◽

Communication Networks ◽

Large Scale ◽

Wireless Communication Networks ◽

Large Scale Systems ◽

Event Triggered

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UAV flight coordination for communication networks: genetic algorithms versus game theory

Soft Computing ◽

10.1007/s00500-021-05863-6 ◽

2021 ◽

Author(s):

Alexandros Giagkos ◽

Elio Tuci ◽

Myra S. Wilson ◽

Philip B. Charlesworth

Keyword(s):

Game Theory ◽

Genetic Algorithms ◽

Unmanned Aerial Vehicles ◽

Communication Networks ◽

Large Scale ◽

Complex Problem ◽

Communication Model ◽

Aerial Vehicles ◽

Long Endurance ◽

Non Cooperative Games

AbstractThe autonomous coordinated flying for groups of unmanned aerial vehicles that maximise network coverage to mobile ground-based units by efficiently utilising the available on-board power is a complex problem. Their coordination involves the fulfilment of multiple objectives that are directly dependent on dynamic, unpredictable and uncontrollable phenomena. In this paper, two systems are presented and compared based on their ability to reposition fixed-wing unmanned aerial vehicles to maintain a useful airborne wireless network topology. Genetic algorithms and non-cooperative games are employed for the generation of optimal flying solutions. The two methods consider realistic kinematics for hydrocarbon-powered medium-altitude, long-endurance aircrafts. Coupled with a communication model that addresses environmental conditions, they optimise flying to maximising the number of supported ground-based units. Results of large-scale scenarios highlight the ability of genetic algorithms to evolve flexible sets of manoeuvres that keep the flying vehicles separated and provide optimal solutions over shorter settling times. In comparison, game theory is found to identify strategies of predefined manoeuvres that maximise coverage but require more time to converge.

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Optimization Design and Economic Development of Cruise Travel Routes Based on Wireless Communication Networks and Genetic Algorithms

Wireless Communications and Mobile Computing ◽

10.1155/2021/5065957 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Jiahui Ji ◽

Wei Liu ◽

Hong Zhen

Keyword(s):

Economic Development ◽

Genetic Algorithms ◽

Wireless Communication ◽

Communication Networks ◽

Optimization Design ◽

Large Scale ◽

Tourism Industry ◽

Route Optimization ◽

Wireless Communication Networks ◽

Cruise Tourism

At present, domestic cruise tourism is still an emerging tourism industry. Although all regions have great enthusiasm for the development of cruise tourism, some bottlenecks have appeared due to the lack of relevant planning. In terms of cruise manufacturing, such as large-scale fin stabilizers and low-speed design of engine, crankshaft, and propeller. To solve the above problems, it is very important to optimize the design of cruise travel routes based on wireless communication networks and genetic algorithms and research on economic development. This paper proposes the use of wireless sensor network (WSN) architecture and genetic algorithms in intelligent bionic algorithms to design cruise travel route optimization. Based on the research on the basic theory of the cruise industry, this article expounds the construction and operation of world-famous home ports and my country’s cruise home ports. Through the analysis and evaluation of the characteristics and development status of my country’s tourism and tourism resources, the possible impact of the construction of cruise home ports on the development of my country’s tourism industry under the new situation is discussed. The results of the study show that a cruise ship carrying 2010 tourists and 952 crew members will spend about 323,700 US dollars on shore tourists and crew every time it stops at its home port city. The average consumption is approximately US$273,000.

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