scholarly journals The Traveling k-Median Problem: Approximating Optimal Network Coverage

2021 ◽  
pp. 80-98
Author(s):  
Dylan Huizing ◽  
Guido Schäfer
Keyword(s):  
Network Coverage ◽  
Median Problem ◽  
Optimal Network

scholarly journals Implementation of Greedy Algorithm in Optimal Cellular Masts Hoisting Over Population Coverage

2021 ◽  
Vol 4 (1) ◽  
pp. 68-78
Author(s):  
Tamaraebi A.E. ◽  
Okardi B.
Keyword(s):  
Greedy Algorithm ◽  
Cellular Network ◽  
Design Methodology ◽  
Object Oriented ◽  
Network Coverage ◽  
Population Coverage ◽  
Analysis And Design ◽  
Java Programming ◽  
Optimal Network

The need to meet the demands of subscribers of wireless services is imperative to Global System for Mobile (GSM) Communication companies. These demands, which revolve around the maintenance of good network coverage and improved Quality of Service (QoS), depend largely on the nature of cellular network masts. Greedy Algorithm Model was implemented on network masts for small size populated areas to effectively have optimal network coverage. Object Oriented Analysis and Design Methodology (OOADM) and Java programming language was used for its implementation. The analysis of the results shows that Greedy Algorithm performed optimizing cellular network masts hoisting optimally for small populated areas.

scholarly journals Chews First Delaunay Triangulation refinement Scheme-Based Positioning of RSUs for Optimal Network Coverage in VANETs

2021 ◽  
Author(s):  
Selvakumari P ◽  
Sree Rathna Lakshmi ◽  
Sheela D ◽  
Chinnasamy A
Keyword(s):  
Delaunay Triangulation ◽  
Vehicular Networks ◽  
Vehicular Network ◽  
Optimal Placement ◽  
Network Coverage ◽  
V2v Communication ◽  
Optimal Network ◽  
Current Scenario ◽  
Vehicle Mobility ◽  
Triangulation Refinement

Abstract The temporal network fragmentation and uncertain vehicle mobility are considered to impact the communication connectivity among the vehicular nodes of the network. In this context, Road Side Units (RSUs) play an anchor role in enhancing the vehicle-to-vehicle (V2V) communication connectivity and support Vehicle-to-Infrastructure (V2I) communication. In the current scenario, deploying a huge number of RSUs in the vehicular networks at an initial stage is completely impossible as it incurs high installation cost and authority restriction. Moreover, the optimal placement of RSUs in the vehicular network needs to be enforced for attaining maximized network coverage. In this paper, Chews First Delaunay Triangulation Refinement Scheme (CFDTRS) is proposed for optimal positioning of RSUs in order to attain optimal network coverage in the vehicular network with minimized cost. This CFDTRS considered the factors of vehicular density, number of obstacles in the map, intersection popularity and global coverage into account during the placement of RSUs. It is proposed with the objective of deploying required number of RSUs within the range of data transmission in order to achieve maximal coverage in the convex map, such that each area of the convex map is completely covered with at least a single RSU in the existence of multiple number of obstacles. The simulation results of the proposed CFDTRS attained from the real time situations of simplex, moderate and complex maps confirmed improved packet delivery rate of 9.32%, throughput by 10.74% with minimized packet loss of 9.14% and reduced end-to-end delay of 19.31$, compared to the benchmarked schemes considered for investigation.

scholarly journals An Improved Intrusion Weed Optimization Algorithm for Node Location in Wireless Sensor Networks

2022 ◽  
Vol 16 ◽  
pp. 525-530
Author(s):  
Shihui Li
Keyword(s):  
Optimization Algorithm ◽  
Initial Position ◽  
Coverage Rate ◽  
Network Coverage ◽  
Invasive Weed ◽  
Solution Quality ◽  
Optimal Network ◽  
Chaotic Operator ◽  
Node Location ◽  
Update Strategy

The distribution optimization of WSN nodes is one of the key issues in WSN research, and also is a research hotspot in the field of communication. Aiming at the distribution optimization of WSN nodes, the distribution optimization scheme of nodes based on improved invasive weed optimization algorithm(IIWO) is proposed. IIWO improves the update strategy of the initial position of weeds by using cubic mapping chaotic operator, and uses the Gauss mutation operator to increase the diversity of the population. The simulation results show that the algorithm proposed in this paper has a higher solution quality and faster convergence speed than IWO and CPSO. In distribution optimization example of WSN nodes, the optimal network coverage rate obtained by IIWO is respectively improved by 1.82% and 0.93% than the IWO and CPSO. Under the condition of obtaining the same network coverage rate, the number of nodes required by IIWO is fewer.

Performance analysis of various massive MIMO detection algorithms in 5G Wireless technologies

2019 ◽  
Vol 10 ◽  
Author(s):  
Shihab Jimaa ◽  
Jawahir Al-Ali
Keyword(s):  
Massive Mimo ◽  
Spectrum Efficiency ◽  
System Capacity ◽  
Network Coverage ◽  
Mimo Detection ◽  
Infinity Norm ◽  
Detection Algorithms ◽  
Alternating Direction ◽  
5G Systems ◽  
Efficient Power

Background: The 5G will lead to a great transformation in the mobile telecommunications sector. Objective: The huge challenges being faced by wireless communications such as the increased number of users have given a chance for 5G systems to be developed and considered as an alternative solution. The 5G technology will provide a higher data rate, reduced latency, more efficient power than the previous generations, higher system capacity, and more connected devices. Method: It will offer new different technologies and enhanced versions of the existing ones, as well as new features. 5G systems are going to use massive MIMO (mMIMO), which is a promising technology in the development of these systems. Furthermore, mMIMO will increase the wireless spectrum efficiency and improve the network coverage. Result: In this paper we present a brief survey on 5G and its technologies, discuss the mMIMO technology with its features and advantages, review the mMIMO capacity and energy efficiency and also presents the recent beamforming techniques. Conclusion: Finally, simulation of adopting different mMIMO detection algorithms are presented, which shows the alternating direction method of multipliers (ADMM)-based infinity-norm (ADMIN) detector has the best performance.

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