Cooperative Routing in Wireless Networks: A Comprehensive Survey

2015 ◽  
Vol 17 (2) ◽  
pp. 604-626 ◽  
Author(s):  
Fatemeh Mansourkiaie ◽  
Mohammed Hossam Ahmed
Keyword(s):  
Wireless Networks ◽  
Cooperative Routing ◽  
Comprehensive Survey

scholarly journals A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Merima Kulin ◽  
Tarik Kazaz ◽  
Eli De Poorter ◽  
Ingrid Moerman
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Performance Improvement ◽  
Quality Of Experience ◽  
Data Driven ◽  
Protocol Stack ◽  
Comprehensive Survey ◽  
Network Prediction ◽  
Network Quality

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY, MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience (QoE). We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.

Towards energy-efficient cooperative routing algorithms in wireless networks

2013 ◽  
Author(s):  
Yu Wang ◽  
Xinyu Yang ◽  
Shusen Yang ◽  
Wei Yu ◽  
S. Bhattarai ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Energy Efficient ◽  
Routing Algorithms ◽  
Cooperative Routing

scholarly journals On the Performance of Cooperative Routing in Wireless Networks

2010 ◽  
Author(s):  
Mostafa Dehghan ◽  
Majid Ghaderi ◽  
Dennis L. Goeckel
Keyword(s):  
Wireless Networks ◽  
Cooperative Routing

Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey

2018 ◽  
Vol 20 (4) ◽  
pp. 2595-2621 ◽  
Author(s):  
Qian Mao ◽  
Fei Hu ◽  
Qi Hao
Keyword(s):  
Wireless Networks ◽  
Deep Learning ◽  
Comprehensive Survey

scholarly journals Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 129 ◽  
Author(s):  
Mudasar Memon ◽  
Navrati Saxena ◽  
Abhishek Roy ◽  
Dong Shin
Keyword(s):  
Wireless Networks ◽  
Channel Coding ◽  
Data Extraction ◽  
Battery Life ◽  
Radio Waves ◽  
Next Generation ◽  
Backscatter Communication ◽  
Rf Signals ◽  
Communication Modes ◽  
Comprehensive Survey

The ever increasing proliferation of wireless objects and consistent connectivity demands are creating significant challenges for battery-constrained wireless devices. The vision of massive IoT, involving billions of smart objects to be connected to the cellular network, needs to address the problem of uninterrupted power consumption while taking advantage of emerging high-frequency 5G communications. The problem of limited battery power motivates us to utilize radio frequency (RF) signals as the energy source for battery-free communications in next-generation wireless networks. Backscatter communication (BackCom) makes it possible to harvest energy from incident RF signals and reflect back parts of the same signals while modulating the data. Ambient BackCom (Amb-BackCom) is a type of BackCom that can harvest energy from nearby WiFi, TV, and cellular RF signals to modulate information. The objective of this article is to review BackCom as a solution to the limited battery life problem and enable future battery-free communications for combating the energy issues for devices in emerging wireless networks. We first highlight the energy constraint in existing wireless communications. We then investigate BackCom as a practical solution to the limited battery life problem. Subsequently, in order to take the advantages of omnipresent radio waves, we elaborate BackCom tag architecture and various types of BackCom. To understand encoding and data extraction, we demonstrate signal processing aspects that cover channel coding, interference, decoding, and signal detection schemes. Moreover, we also describe BackCom communication modes, modulation schemes, and multiple access techniques to accommodate maximum users with high throughput. Similarly, to mitigate the increased network energy, adequate data and power transfer schemes for BackCom are elaborated, in addition to reliability, security, and range extension. Finally, we highlight BackCom applications with existing research challenges and future directions for next-generation 5G wireless networks.

Cooperative routing with relay assignment in multi-radio multi-hop wireless networks

2014 ◽  
Author(s):  
Kun Xie ◽  
Ling Wang ◽  
XueLi Liu ◽  
Jigang Wen ◽  
Jiannong Cao
Keyword(s):  
Wireless Networks ◽  
Cooperative Routing ◽  
Relay Assignment
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