Quantifying the Trade-off Between the Level of Connectivity and Local Complexity in Random Wireless Network Topologies

2009 ◽  
Author(s):  
András Farago
Keyword(s):  
Wireless Network ◽  
Trade Off ◽  
Local Complexity ◽  
Network Topologies

scholarly journals When Does Diversity of Agent Preferences Improve Outcomes in Selfish Routing?

2018 ◽  
Author(s):  
Richard Cole ◽  
Thanasis Lianeas ◽  
Evdokia Nikolova
Keyword(s):  
Common Belief ◽  
Selfish Routing ◽  
Trade Off ◽  
Full Characterization ◽  
Improved Outcomes ◽  
Network Topologies ◽  
Multi Agent ◽  
The Common ◽  
Routing Games

We seek to understand when heterogeneity in agent preferences yields improved outcomes in terms of overall cost. That this might be hoped for is based on the common belief that diversity is advantageous in many multi-agent settings. We investigate this in the context of routing. Our main result is a sharp characterization of the network settings in which diversity always helps, versus those in which it is sometimes harmful. Specifically, we consider routing games, where diversity arises in the way that agents trade-off two criteria (such as time and money, or, in the case of stochastic delays, expectation and variance of delay). Our main contributions are: 1) A participant-oriented measure of cost in the presence of agent diversity; 2) A full characterization of those network topologies for which diversity always helps, for all latency functions and demands.

scholarly journals Distributed Maintenance of Resource Efficient Wireless Network Topologies

2002 ◽  
pp. 935-946 ◽  
Author(s):  
Matthias Grünewald ◽  
Tamás Lukovszki ◽  
Christian Schindelhauer ◽  
Klaus Volbert
Keyword(s):  
Wireless Network ◽  
Network Topologies

scholarly journals Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including Microgrids

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7208
Author(s):  
Carlos Suárez ◽  
Esteban Inga
Keyword(s):  
Wireless Network ◽  
Optimal Routing ◽  
Wireless Technology ◽  
Model Configuration ◽  
The World ◽  
Energy Metering ◽  
Network Topologies ◽  
Micro Grids

This work is focused on the performance analysis and optimal routing of wireless technology for intelligent energy metering, considering the inclusion of micro grids. For the study, a geo-referenced scenario has been taken into account, which will form the structure of a graph to be solved using heuristic-based algorithms. In the first instance, the candidate site of the world geography to perform the case study is established, followed by deploying infrastructure devices and determining variables and parameters. Then, the model configuration is programmed, taking into account that a set of nodes and vertices is established for proper routing, resulting in a preliminary wireless network topology. Finally, from a set of restrictions, a determination of users connected to the concentrator and optimal routing is performed. This procedure is treated as a coverage set problem. Consequently, to establish the network parameters, two restrictions are specifically considered, capacity and range; thus, can be determined the best technology to adapt to the location. Finally, a verification of the resulting network topologies and the performance of the infrastructure is done by simulating the wireless network. With the model created, scenarios are tested, and it is verified that the optimization model demonstrates its effectiveness.

scholarly journals OPTIMIZATION OF LIFETIME IN WIRELESS MONITORING NETWORKS

2020 ◽  
pp. 267-272
Author(s):  
Yuliia Kovalova ◽  
Tetyana Babenko ◽  
Oleksandr Oksiiuk ◽  
Larysa Myrutenko
Keyword(s):  
Energy Consumption ◽  
Wireless Network ◽  
Data Transmission ◽  
Monitoring Network ◽  
Test Results ◽  
Monitoring Networks ◽  
Wireless Monitoring ◽  
Mac Layers ◽  
Network Topologies ◽  
Hardware Platforms

Wireless network finds application in communal facilities monitoring and management systems. One of the basic requirements for the construction of a wireless monitoring network with autonomous power supply is the guaranteed network lifetime. Up-to-date challenges in the field of wireless monitoring networks are creation of universal hardware platforms that allow for usage of widespread proprietary transceivers of different manufacturers aiming at creating network topologies raising energy efficiency and lifetime of WMN. The article describes a model of a wireless network allowing evaluation of its lifetime by energy parameters and dynamic reconfigurations induced by external influence. On the basis of the represented test results one may conclude that energy consumption is defined by the level of the application stack of the protocol ZigBeе and doesn’t depend on PHY and MAC layers of the protocol 802.15.4. Considering energy consumption of the data transmission process, potential increase in the lifetime of the devices and network as a whole is mostly controlled by the sizes of useful messages.

scholarly journals Energy Efficiency and Coverage Trade-Off in 5G for Eco-Friendly and Sustainable Cellular Networks

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 408 ◽  
Author(s):  
Mohammed Alsharif ◽  
Anabi Kelechi ◽  
Jeong Kim ◽  
Jin Kim
Keyword(s):  
Energy Efficiency ◽  
Wireless Network ◽  
Cellular Networks ◽  
High Speed ◽  
Network Performance ◽  
Energy Savings ◽  
Load Condition ◽  
Base Stations ◽  
Entire Area ◽  
Trade Off

Recently, cellular networks’ energy efficiency has garnered research interest from academia and industry because of its considerable economic and ecological effects in the near future. This study proposes an approach to cooperation between the Long-Term Evolution (LTE) and next-generation wireless networks. The fifth-generation (5G) wireless network aims to negotiate a trade-off between wireless network performance (sustaining the demand for high speed packet rates during busy traffic periods) and energy efficiency (EE) by alternating 5G base stations’ (BSs) switching off/on based on the traffic instantaneous load condition and, at the same time, guaranteeing network coverage for mobile subscribers by the remaining active LTE BSs. The particle swarm optimization (PSO) algorithm was used to determine the optimum criteria of the active LTE BSs (transmission power, total antenna gain, spectrum/channel bandwidth, and signal-to-interference-noise ratio) that achieves maximum coverage for the entire area during the switch-off session of 5G BSs. Simulation results indicate that the energy savings can reach 3.52 kW per day, with a maximum data rate of up to 22.4 Gbps at peak traffic hours and 80.64 Mbps during a 5G BS switched-off session along with guaranteed full coverage over the entire region by the remaining active LTE BSs.

Sign in / Sign up

Export Citation Format

Share Document