scholarly journals HATA Path Loss Model Optimization Using Particle Swarm Algorithm

2021 ◽  
Author(s):  
Deepti Kakkar ◽  
Ashish Prashar ◽  
Mehar Latif ◽  
Aitraiyee Konar ◽  
Kishan Kumar ◽  
...  
Keyword(s):  
Path Loss ◽  
Base Station ◽  
Propagation Model ◽  
Particle Swarm Algorithm ◽  
Model Optimization ◽  
Wireless System ◽  
Swarm Optimization ◽  
K Factor ◽  
Better Than

Fallacious path loss predictions before the placing of base station(BS) cause under evaluation of circulation areas which gives rise to unabating call drops & cross talks. The escalating demands of meeting overhaul needs of applications by users makes the consequence worst, which significantly influences competence of the cellular wireless system. Propagation model is a keystone of coverage planning. To slash cost, proper planning is needed in coverage of network in order to upgrade the quality of service. Now, K factor is taken into account in order to improve or enhance propagation model based on particles swarm optimization(PSO).The root mean square error(RMSE) between confirmed or verified measurements data & data we obtain from prediction model is used to test and validate the technique used. The values of the RMSE acquired by enhancedmodel and those attained by the standard Hata model are also juxtaposed. We reckoned that the model developed using PSO is better than the HATA model and is errorless.

scholarly journals Outdoor Radio Propagation Model Optimization Using Genetic Algorithm

2021 ◽  
Author(s):  
Deepti Kakkar ◽  
Amarah Zahra ◽  
Hritwik Todawat ◽  
Vaishnawi Singh ◽  
Farhana Shahid ◽  
...  
Keyword(s):  
Wireless Communication ◽  
Free Space ◽  
Path Loss ◽  
Propagation Model ◽  
Wireless System ◽  
Propagation Models ◽  
Ga Algorithm ◽  
Optimum Path ◽  
Long Time ◽  
Radio Propagation Model

Path loss which is one of the main issues in wireless communication system and has been studied for long time. With the tremendous increase in demand in wireless technology, this Path loss needs to be optimized. Therefore, it is very important to analyse these different propagation models in order to get some useful information out and develop a system based on it. This is done to get the optimum path loss from different models. These are useful tools which makes the designers capable of designing a wireless system with great efficiency. In pursuit of the same, this paper attempts to optimize free space propagation model and hata model using GA algorithm, and shows a comparison by putting them side by side. This paper gives an insight of comparison between free space and Hata model in wireless communication taking different propagation environments into consideration.

Variations of the VLF-EM primary field: Analysis of airborne survey data, New Brunswick, Canada

Geophysics ◽  
1992 ◽  
Vol 57 (1) ◽  
pp. 181-186 ◽  
Author(s):  
Marc A. Vallée ◽  
Michel Chouteau ◽  
G. J. Palacky
Keyword(s):  
New Brunswick ◽  
Solar Flares ◽  
Base Station ◽  
Propagation Model ◽  
Field Analysis ◽  
Primary Field ◽  
Survey Area ◽  
Em Field ◽  
Airborne Survey

Variations in intensity of the primary VLF-EM field have a significant effect on the quality of airborne and ground surveys in which the total field is measured. An analysis of the results of a recent VLF-EM survey and base station records in New Brunswick, Canada, revealed major variations in the primary VLF-EM field due to changes in the transmitting power and to solar flares. To study the effect of systematic primary field variations over the survey area, VLF-EM field intensity was calculated using radio propagation model based on uniform conductive earth and anisotropic‐layered ionosphere. The model correctly predicted a decrease in the primary field generated by the NAA transmitter by about 40 percent in a direction perpendicular to a survey line. Such a change is sufficiently important to require repeated calibrations of the receiver between the survey lines. The model also indicated that the phase difference between contributions of the ground and sky waves should vary over the survey area. Such variations explain opposite polarities of sudden amplitude variations due to solar flares that were observed during the survey.

Slotting Optimization Model and Algorithm for Concerning the Correlation in Hybrid Travel Policy

2014 ◽  
Vol 694 ◽  
pp. 90-94
Author(s):  
Xiao Min Zhou ◽  
Ying De Li ◽  
Yue Peng Yao
Keyword(s):  
Solution Quality ◽  
Swarm Optimization ◽  
Assignment Model ◽  
Average Improvement ◽  
Dynamic Location ◽  
Location Assignment ◽  
Correlation Strength ◽  
Travel Policy ◽  
Better Than

In the periodic picking background, we researched the influence of the picking correlations between Stock Keeping Units (SKUs), established dynamic location assignment model to minimize the total picking time, developed a particle swarm optimization (PSO) based on the correlated SKUs. We set the cube-per-order-index (COI) solution as initial solution, used correlation strength to update the velocity and position of particles and assigned correlated SKUs to adjacent slots according to the optimal location sequence. The result shows that in zone-based wave-picking system with hybrid touring policy, the solution quality of PSO is always better than COI, the improvement of PSO is 2.50%~13.9% and average improvement is 2.84%~12.53%; the correlation has significant impact on the picking efficiency.

scholarly journals Analysis of the Distributed Immune Inspection Equipment Sensor Scheduling Model Based on Adaptive Dynamic Probabilistic Particle Swarm Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yi Zhou ◽  
Weili Xia ◽  
Shengping Peng
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Equipment Failure ◽  
Immune Mechanism ◽  
Swarm Optimization ◽  
Adaptive Dynamic ◽  
Dynamic Events ◽  
Inspection Process ◽  
Better Than

Based on the analysis of bacterial parasitic behavior and biological immune mechanism, this paper puts forward the basic idea and implementation method of an embedding adaptive dynamic probabilistic parasitic immune mechanism into a particle swarm optimization algorithm and constructs particle swarm optimization based on an adaptive dynamic probabilistic parasitic immune mechanism algorithm. The specific idea is to use the elite learning mechanism for the parasitic group with a strong parasitic ability to improve the ability of the algorithm to jump out of the local extreme value, and the host will generate acquired immunity against the parasitic behavior of the parasitic group to enhance the diversity of the host population’s particles. Parasitic behavior occurs when the number of times reaches a predetermined algebra. In this paper, an example simulation is carried out for the prescheduling and dynamic scheduling of immune inspection. The effectiveness of prescheduling for immune inspection is verified, and the rules constructed by the adaptive dynamic probability particle swarm algorithm and seven commonly used scheduling rules are tested on two common dynamic events of emergency task insertion and subdistributed immune inspection equipment failure. In contrast, the experimental data was analyzed. From the analysis of experimental results, under the indicator of minimum completion time, the overall performance of the adaptive dynamic probability particle swarm optimization algorithm in 20 emergency task insertion instances and 20 subdistributed immune inspection equipment failure instances is better than that of seven scheduling rules. Therefore, in the two dynamic events of emergency task insertion and subdistributed immune inspection equipment failure, the adaptive dynamic probabilistic particle swarm algorithm proposed in this paper can construct effective scheduling rules for the rescheduling of the system when dynamic events occur and the constructed scheduling. The performance of the rules is better than that of the commonly used scheduling rules. Among the commonly used scheduling rules, the performance of the FIFO scheduling rules is also better. In general, the immune inspection scheduling multiagent system in this paper can complete the prescheduling of immune inspection and process dynamic events of the inspection process and realize the prereactive scheduling of the immune inspection process.

scholarly journals Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Guojun Chen ◽  
Xiangdong Qin ◽  
Ningsheng Fang ◽  
Wenbo Xu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Path Selection ◽  
Wireless Sensor ◽  
Particle Swarm Algorithm ◽  
Network Coverage ◽  
Simulation Experiments ◽  
Reasonable Choice ◽  
Better Than

Path selection is one of the key technologies of wireless sensor network (WSN). A reasonable choice of coverage path can improve the service quality of WSN and extend the life cycle of WSN. Biogeography-based optimization (BBO) is widely used in the field of cluster intelligent optimization because its search method has a better incentive mechanism for population evolution. In this paper, the move-in and move-out operation and mutation operation of the BBO algorithm enable WSN to find an efficient routing path. In this paper, simulation experiments are carried out in two scenarios of regular deployment and random deployment of WSN nodes. The experimental results show that the quality of the WSN coverage path solution optimized by the BBO algorithm in the two scenarios is better than that of the particle swarm algorithm and genetic algorithm.

scholarly journals Assessment and Modeling of GSM Signal Propagation in Uyo, Nigeria

2017 ◽  
Vol 2 (11) ◽  
pp. 49 ◽  
Author(s):  
Sunny Orike ◽  
Promise Elechi ◽  
Iboro Asuquo Ekanem
Keyword(s):  
Field Strength ◽  
Path Loss ◽  
Signal Propagation ◽  
Empirical Models ◽  
Propagation Model ◽  
Link Quality ◽  
Base Stations ◽  
Quality Factors ◽  
Irregular Terrain

High quality of service is a paramount concern in wireless networks. One of the strategies in achieving optimal performance is to use wireless empirical models to predict wireless link quality factors such as path loss and the received power in any given transmission domain with irregular terrain. The primary goal of this study is to develop a radio wave propagation model for Uyo metropolis. An assessment was carried out in three major roads within the city of Uyo in Akwa Ibom State, to determine the quality of GSM signal reception by measuring the signal field strength, magnetic field strength, and power density of the base transceiver stations. The measurements were carried out using radio frequency electromagnetic field strength meter over a distance of 2000 meters from the base stations. The results of the measurements were analysed and a path loss model was developed for Uyo using linear regression model. Three empirical models: Okumura-Hata model, COST-Hata model, and Egli model were also applied in predicting the path loss in Uyo and the results obtained were compared with the developed model for Uyo metropolis. The comparison showed that Route D model had a better comparison factor with the developed model while the Okumura-Hata and COST-Hata were almost the same with more loss as the distance increased. In all the measurements, the standard deviation was between 3.31 dB and 3.36 dB.

Trajectory optimization for manipulators based on external archives self-searching multi-objective particle swarm optimization

2021 ◽  
pp. 095440622199748
Author(s):  
Youyu Liu ◽  
Xuyou Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Trajectory Optimization ◽  
Optimization Problem ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
B Splines ◽  
Multi Objective ◽  
Searching Strategy ◽  
Better Than

In order to improve the quality of the non-inferior solutions obtained by multi-objective particle swarm optimization (MOPSO), an improved algorithm called external archives self-searching multi-objective particle swarm optimization (EASS-MOPSO) was proposed and applied to a multi-objective trajectory optimization problem for manipulators. The position curves of joints were constructed by using quartic B-splines; the mathematical models of time, energy and jerk optimization objectives for manipulators were established; and the kinematic constraints of joints were transformed into the constraints of the control vertexes of the B-splines. A self-searching strategy of external archives to make non-inferior solutions have the ability to search the surrounding hyperspace was explored, and a diversity maintaining strategy of the external archives was proposed. The results of several test functions by simulation show that the convergence and diversity of the proposed algorithm are better than those of other 4 selected algorithms; the results of the trajectory optimization problem for manipulators by simulation show that the convergence, diversity and time consumption of the proposed algorithm are significantly better than those of non-dominated sorting genetic algorithm.

scholarly journals Performance Assessment for Mobile Base Station in UNITEN Vicinity

2018 ◽  
Vol 7 (4.1) ◽  
pp. 94
Author(s):  
Mohamad Nazri ◽  
Goh Chin Hock ◽  
Nurzanariah Roslan ◽  
Saidatul Hamidah ◽  
Nayla Ferdous
Keyword(s):  
Planning Process ◽  
Path Loss ◽  
Base Station ◽  
Mobile Operator ◽  
Base Transceiver Station ◽  
Mobile Base Station ◽  
Verification Process ◽  
Two Parameters ◽  
Mobile Base

This paper present the study at Received Signal Code Power (RCSP) and energy per chip divided by the total in-band interference (Ec/No) these parameters in order to provide good quality service to customers, mobile operator perform benchmarking project to monitor their quality of service which deliver to customer. The relation between these two parameters were discussed and proved from the drive test result at UNITEN vicinity. The method that used in this research was Network Planning Process and Data verification process. The fabrication and verification of data was done by using NEMO HANDY tools and HATA model. The aim is to carry out the test and research the Base Transceiver Station for mobile operation functionally and quality also collect the data and generate the report regarding the quality of voice call, call attempts, call fail, data network, attempt, data of RCSP and EC/No of the mobile operator. The result showed that the Telco B provide the best 3G service among the competitor and Telco D provide the 2G service compare the other operator. The relationship between RCSP and EC/No in path loss calculation is directly proportional to each other are proven. Besides that, it also proves that the terrain contour, site environment and antenna height will affect the throughput of the antenna transmitting power for mobile base station. 

Path Loss Model Tuning at GSM 900 for a Single Cell Base Station

2013 ◽  
Vol 5 (1) ◽  
pp. 47-56 ◽  
Author(s):  
Allam Mousa ◽  
Mahmoud Najjar ◽  
Bashar Alsayeh
Keyword(s):  
Mobile Communications ◽  
Path Loss ◽  
Base Station ◽  
Measured Data ◽  
Propagation Model ◽  
Specific Cell ◽  
Mean Error ◽  
Mobile Operator ◽  
Model Tuning ◽  
The City

Mobile communications has become an everyday commodity. In the last decades, it has evolved from being an expensive technology for a few selected individuals to today’s ubiquitous systems used by a majority of the world’s population. Imprecise propagation models lead to networks with high co-channel interference, as well as power waste. This study aims to adapt a propagation model in the city of Nablus (Palestine) for a GSM frequency band. This study helps to design better GSM networks for the city in spite of the geographical and frequency limitations. The modification is accomplished by investigating the variation in path loss between the measured and predicted values, according to the propagation model for a specific cell. The results from a simulation model and measured data was compared and analyzed. Bertoni-Walfisch model, without tuning, gave the best results with a mean error of 1.426 dB, which is much less than the mean error obtained by the Standard Macrocell model, 10.91 dB, which is used by a local mobile operator. The two models have been tuned to fit measured data for GSM-900 in the city of Nablus. This is a vital step in cell planning and rollout of wireless networks. To confirm the superiority of Bertoni-Walfisch, a comparison between Bertoni-Walfisch and Standard Macrocell model in terms of Standard Deviation and Mean Error (RMSE).

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