scholarly journals Mobile Probe for Cellular Network Coverage and Quality Measurement

2017 ◽  
Author(s):  
David Vasicek ◽  
Martin Mikulec ◽  
Erik Gresak ◽  
Filip Rezac ◽  
Erik Chromy
Keyword(s):  
Cellular Network ◽  
Quality Measurement ◽  
Network Coverage

Data Dissemination for Vehicles in Temporary Cellular Network Dead Spots

2019 ◽  
Vol 1 (2) ◽  
pp. 38-55
Author(s):  
Ergys Puka ◽  
Peter Herrmann
Keyword(s):  
Mobile Phones ◽  
Waiting Time ◽  
Ad Hoc Network ◽  
Cellular Network ◽  
Ad Hoc ◽  
Data Dissemination ◽  
Connected Vehicles ◽  
Network Coverage ◽  
Network Access ◽  
Mountainous Areas

The cellular network coverage in sparsely populated and mountainous areas is often patchy. That can be a significant impediment for services based on connections between vehicles and their environment. This article presents a method to reduce the waiting time occurring when a vehicle intends to send a message via a cellular network but is currently in a dead spot, i.e., an area without sufficient coverage. The authors introduce a data dissemination protocol that allows vehicles to connect through an ad-hoc network. The ad-hoc network peers can then find out which one will most likely leave the dead spot first. The selected vehicle stores then the messages of all connected vehicles and forwards them to the remote infrastructure as soon as it regains cellular network access. This research also discusses message flows in larger dead spots in which a vehicle may consecutively form several ad-hoc connections. Further, the authors describe an initial implementation of the protocol using the technology Wi-Fi Direct that is realized on most modern mobile phones.

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.

Sign in / Sign up

Export Citation Format

Share Document