Network density estimators and density-aware wireless networks

Date

2020-11

Author

Eroğlu, Alperen

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

359
views

0
downloads

New network architectures and communication technologies continue to emerge to meet rapidly increasing and changing user demands requiring continuous connectivity and high data rate transmissions. These ubiquitous infrastructures result in a paradigm shift in mobile communications with the advent of mobile robots equipped with sensors, unmanned aerial vehicles, and mobile small-cells, which makes the future networks highly dynamic. This dynamism poses unpredictable variations in the network density causing many run-time problems such as disrupted coverage, undesirable quality of service, and inefficient resource usage. Pre-configurations are no longer suitable because of the network topology variations, which prompts us to develop density-adaptive protocols and self-configured system designs. Therefore, the most crucial objective of this thesis is to make future wireless networks density-aware and -adaptive. We propose novel network density estimators using received signal strength and density-aware networking applications. We introduce a distance matrix-based density estimator, multi-access edge cloud-based density estimator, and interference-based density estimator for wireless networks. We also develop density-aware network outage, transmit power adaptation, and channel utilization approaches by considering the effective network density as an optimization parameter for clustered ad hoc networks, mobile cellular networks, and flying ad hoc networks. We validate the results by implementing Monte-Carlo simulations on MATLAB. Outputs of this thesis may help network operators enhance service quality, create the best deployment strategies, reduce operational expenditures, and meet increasing user expectations without wasting network resources. Density-aware and -adaptive applications make wireless networks self-organized and run-time adaptable.

Subject Keywords

Wireless Networks, Ad Hoc Networks, Flying Ad Hoc Networks, Cellular Networks, Moving Base Stations, Base Station Density Estimation, Density-Adaptive Networking, Network Coverage, Network Outage, Density-Aware Transmit Power Adaptation

URI

https://hdl.handle.net/11511/69231

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Cooperative relaying schemes for narrow-band frequency hopping wireless ad hoc networks Yenihayat, Güven; Onat, Furuzan Atay; Kolaǧasioǧlu, Ertuǧrul; Yılmaz, Ali Özgür (2011-08-29) Cooperative relaying is a promising technique for improving the performance of weak communication links in wireless networks by exploiting spatial diversity induced by relay transmissions. This paper considers cooperative relaying schemes for a narrow- band frequency hopping system. A novel hybrid relaying scheme called opportunistic hybrid relaying, which is specifically designed for this system, is presented. Unlike most relaying schemes in the literature, opportunistic hybrid relaying uses bandwidth effi...
Mobile traffic modelling for wireless multimedia sensor networks in IoT Al-Turjman, Fadi; Radwan, Ayman; Mumtaz, Shahid; Rodriguez, Jonathan (2017-11-01) Wireless sensor networks suffer from some limitations such as energy constraints and the cooperative demands essential to perform multi-hop geographic routing for real-time applications. Quality of Service (QoS) depends to a great extent on offering participating nodes an incentive for collaborating. In this paper, we present a novel traffic model for a new-generation of sensor networks that supports a wide range of communication-intensive real-time multimedia applications. The model is used to investigate ...
Wireless Communication Aspects in the Internet of Things: An Overview ULUŞAR, ÜMİT DENİZ; Celik, Gurkan; Al-Turjman, Fadi (2017-10-12) Recent advances in technology propelled the development of resource constrained tiny devices and the concept of Internet of Things (IoT). Potential applications spanning various fields of science from environmental to medical have been emerged. Different architectures, routing protocols, performance issues and goals have been suggested. In this work, we review fundamental concepts, recent developments and critical design factors under IoT-specific constraints and objectives such as energy efficiency and env...
Routing algorithms for on chip networks Atagoziyev, Maksat; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2007) Network-on-Chip (NoC) is communication infrastructure for future multi-core Systems-on-Chip (SoCs). NoCs are expected to overcome scalability and performance limitations of Point-to-Point (P2P) and bus-based communication systems. The routing algorithm of a given NoC affects the performance of the system measured with respect to metrics such as latency, throughput and load distribution. In this thesis, the popular Orthogonal One Turn (O1TURN) and Dimension Order Routing algorithms (DOR) for 2D-meshes are im...
Packet Arrival Analysis in Wireless Sensor Networks Doddapaneni, Krishna; Shah, Purav; Ever, Enver; Tasiran, Ali; Omondi, Fredrick A.; Mostarda, Leonardo; Gemikonakli, Orhan (2015-03-27) Distributed sensor networks have been discussed for more than 30 years, but the vision of Wireless Sensor Networks (WSNs) has been brought into reality only by the rapid advancements in the areas of sensor design, information technologies, and wireless networks that have paved the way for the proliferation of WSNs. The unique characteristics of sensor networks introduce new challenges, amongst which prolonging the sensor lifetime is the most important. WSNs have seen a tremendous growth in various applicati...

Citation Formats

A. Eroğlu, “Network density estimators and density-aware wireless networks,” Ph.D. - Doctoral Program, Middle East Technical University, 2020.