Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Cooperative Density Estimation in Random Wireless Ad Hoc Networks
Date
2012-03-01
Author
Onur, Ertan
Niemegeers, Ignas
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
201
views
0
downloads
Cite This
Density estimation is crucial for wireless ad hoc networks for adequate capacity planning. Protocols have to adapt their operation to the density since the throughput in an ad hoc network approaches asymptotically to zero as the density increases. A wireless node can estimate the global density by using local information such as the received power from neighbors. In this paper, we propose a cross layer protocol to compute the density estimate. The accuracy of the estimate can be enhanced and its variance can be reduced through cooperation among the nodes. Nodes share the received power measurements with each other. Based on the collected observations, the maximum likelihood estimate is computed. It is shown that cooperative density estimation has better accuracy with less variance than the individual estimation. When nodes share received power measurements from further away neighbors, the variance of the estimate is further reduced.
Subject Keywords
Network density estimation
,
Cooperation
,
Ad hoc networks
,
Maximum likelihood estimation
,
Received power
URI
https://hdl.handle.net/11511/45109
Journal
IEEE COMMUNICATIONS LETTERS
DOI
https://doi.org/10.1109/lcomm.2012.011312.112140
Collections
Department of Computer Engineering, Article
Suggestions
OpenMETU
Core
Density estimation in large-scale wireless sensor networks
Eroğlu, Alperen; Onur, Ertan; Oğuztüzün, Mehmet Halit S.; Department of Computer Engineering (2015)
Density estimation is a significant problem in large-scale wireless ad-hoc networks since the density drastically impacts the network performance. It is crucial to make the network adaptive in the run-time to the density changes that may not be predictable in advance. Local density estimators are required while taking run-time control decisions to improve the network performance. A wireless node may estimate the density locally by measuring the received signal strength (RSS) of packets sent by its neighbour...
Energy-aware routing algorithms for wireless ad hoc networks with heterogeneous power supplies
Vazifehdan, Javad; Prasad, R. Venkatesha; Onur, Ertan; Niemegeers, Ignas (Elsevier BV, 2011-10-27)
Although many energy-aware routing schemes have been proposed for wireless ad hoc networks, they are not optimized for networks with heterogeneous power supplies, where nodes may run on battery or be connected to the mains (grid network). In this paper, we propose several energy-aware routing algorithms for such ad hoc networks. The proposed algorithms feature directing the traffic load dynamically towards mains-powered devices keeping the hop count of selected routes minimal. We unify these algorithms into...
Density-aware outage in clustered Ad Hoc networks
Eroğlu, Alperen; Onur, Ertan (2018-02-28)
Density of ad hoc networks may vary in time and space because of mobile stations, sleep scheduling or failure of nodes. Resources such as spectrum will be wasted if the network is not density-aware and -adaptive. Towards this aim, distributed and robust network density estimators are required. In this paper, we propose a novel cluster density estimator in random ad hoc networks by employing distance matrix. Monte-Carlo simulation results validate the proposed estimator. The accuracy of the estimator is impr...
Network density estimators and density-aware wireless networks
Eroğlu, Alperen; Onur, Ertan; Department of Computer Engineering (2020-11)
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 ...
Linearization of RF power amplifiers with memoryless baseband predistortion method
Kolcuoğlu, Turusan; Demir, Şimşek; Department of Electrical and Electronics Engineering (2011)
In modern wireless communication systems, advanced modulation techniques are used to support more users by handling high data rates and to increase the utilization efficiency of the limited RF spectrum. These techniques are sensitive to the nonlinear distortions due to their high peak to average power ratios. Main source of nonlinear distortion in transmitter topologies are power amplifiers that determine the overall efficiency and linearity of the transmitter. To increase linearity without sacrificing effi...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Onur and I. Niemegeers, “Cooperative Density Estimation in Random Wireless Ad Hoc Networks,”
IEEE COMMUNICATIONS LETTERS
, pp. 331–333, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/45109.