LSTM Network for Hotspot Prediction in Traffic Density of Cellular Network

2021 ◽  
pp. 35-47
Author(s):  
S. Swedha ◽  
E. S. Gopi
Keyword(s):  
Cellular Network ◽  
Traffic Density ◽  
Lstm Network

scholarly journals Measurement of Interconnecting Network for Roadside Unit Placement on Cellular Network to Support Intelligent Transportation System

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Okkie Puspitorini ◽  
Nuradi Siswandari ◽  
Haniah Mahmudah ◽  
Ari Wijayanti
Keyword(s):  
Cellular Network ◽  
Interconnection Network ◽  
Data Communication ◽  
Central Office ◽  
Ground Level ◽  
Intelligent Transportation ◽  
Traffic Density ◽  
Percentage Error ◽  
Sensor Position ◽  
Roadside Unit

The significant problems in metropolitan’s traffic are road congestion and safety  The Intelligent Transportation Systems (ITS) offer improvement for the problems using Roadside Unit placement along the road to detect and inform all matters relating to traffic condition. This research will be conducted measurement interconnection network that will be used by Roadside Unit (RSU) to communicate with the central office. RSU will transmit data type of vehicle and speed information to the central office server. Measurements carried out on the existing cellular network and find the right position for placement of RSU according network availability by considering the received signal power, pathloss and performance data delivery. Measurement locations in the main road metropolitan city of Surabaya by using sensors (counted mode) as the RSU. From the measurements taken showed that communication between infrastructures managed by using digital sensors falcon plus II with a percentage error of less than 3%. Communications between the RSU and the central office using GPRS / GSM network supported by the presence of a nearby BTS tower. The power level of BTS antenna greater than   wireless modem (SIM 900) sensitivity (-107 dbm), with pathloss exponent about 2.77. The ability of data transmission by wireless modem (SIM 900) reached 85.6 Kbps to 42.8 Kbps for downlink and uplink. The server side using the internet network 512 Mbps with a dynamic public IP features that support port forwarding that is useful for data communication. Best sensor position for mounting the sensor horizontally at a height of 40-120 cm from ground level to the maximum detection distance of 150 m for vertical mounting above the overpass. Best sensor position facing the one lane road with a height of 5-6 m from ground level, with the best angle measurement is 45˚-60˚ for vertical and horizontal mounting. Average speed of vehicles is 38.34 km / h with a volume of 4128 units of vehicles, mostly motorcycles and traffic density 135 units / km. Keywords— Roadside unit, I2I, ITS, cellular network

Optimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach

2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho
Keyword(s):  
Intelligent Transportation System ◽  
Search Algorithm ◽  
Mac Protocol ◽  
High Mobility ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Traffic Density ◽  
Scheduling Problem ◽  
Broadcast Scheduling

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.

Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Input Parameter ◽  
Traffic Density ◽  
The Internet ◽  
Linguistic Variables ◽  
Internet Service ◽  
Traffic Distribution ◽  
Smart Control ◽  
High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

Optimal Spectrum Allocation in the Dynamic Heterogeneous Cellular Network

2016 ◽  
Vol E99.B (1) ◽  
pp. 240-248 ◽  
Author(s):  
Xiong ZHOU ◽  
Suili FENG ◽  
Yuehua DING
Keyword(s):  
Cellular Network ◽  
Spectrum Allocation ◽  
Heterogeneous Cellular Network

Analysis of conflict points, conflict situations and calculation of traffic density on a given section of the road network

2020 ◽  
pp. 8-15
Author(s):  
R. S. Durov ◽  
◽  
E. V. Varnakova ◽  
K. O. Kobzev ◽  
N. D. Kobzeva ◽  
...  
Keyword(s):  
Road Network ◽  
Traffic Density ◽  
The Road ◽  
Conflict Situations

DEVELOPMENT OF VALUATION METHOD OF THE STATUS OF BASE STATIONS FOR DETERMINING THE NEED OF THEIR UPGRADING

2017 ◽  
pp. 60-70
Author(s):  
Natalya Ivanovna Shaposhnikova ◽  
Alexander Aleksandrovich Sorokin
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Cellular Network ◽  
New Technologies ◽  
Base Station ◽  
Base Stations ◽  
Valuation Method ◽  
The Status ◽  
Telecommunications Services ◽  
Theory Of Fuzzy Sets

The article consideres the problems of determining the need to modernize the base stations of the cellular network based on the mathematical apparatus of the theory of fuzzy sets. To improve the quality of telecommunications services the operators should send significant funding for upgrading the equipment of base stations. Modernization can improve and extend the functions of base stations to provide cellular communication, increase the reliability of the base station in operation and the functionality of its individual elements, and reduce the cost of maintenance and repair when working on a cellular network. The complexity in collecting information about the equipment condition is determined by a large number of factors that affect its operation, as well as the imperfection of obtaining and processing the information received. For a comprehensive assessment of the need for modernization, it is necessary to take into account a number of indicators. In the structure of indicators of the need for modernization, there were introduced the parameters reflecting both the degree of aging and obsolescence(the technical gap and the backlog in connection with the emergence of new technologies and standards). In the process of a problem solving, the basic stages of decision-making on modernization have been allocated. Decision-making on the need for modernization is based not only on measuring information that takes into account the decision-makers, but also on linguistic and verbal information. Therefore, to determine the need for upgrading the base stations, the theory of fuzzy sets is used, with the help of which experts can be attracted to this issue. They will be able to formulate additional fuzzy judgments that help to take into account not only measuring characteristics, but also poorly formalized fuzzy information. To do this, the main indicators of the modernization need have been defined, and fuzzy estimates of the need for modernization for all indicators and a set of indicators reflecting the need for upgrading the base stations have been formulated.

Adaptive Traffic Density Management System

2018 ◽  
Vol 06 (03) ◽  
pp. 173-176
Author(s):  
A Keerthi Infanta Francy ◽  
S Visalachi ◽  
R Deepa
Keyword(s):  
Management System ◽  
Traffic Density
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