Density-aware outage in clustered Ad Hoc networks

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 impressive even under a high amount of distance measurement errors. We also propose a network outage model and a transmit power adaption technique that are density-aware. The results indicate the necessity of the density-aware solutions for making network performance better from capacity, coverage and energy conservation viewpoints.


Cooperative Density Estimation in Random Wireless Ad Hoc Networks
Onur, Ertan; Niemegeers, Ignas (2012-03-01)
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 ca...
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...
Mobility and Queue Based Guard Channel Scheme for Cellular Networks
Candan, Idil (2014-05-14)
This paper presents a dynamic and queue based bandwidth allocation scheme for cellular networks. According to mobility values, the bandwidth threshold is dynamically changed and a queuing policy is used for newly originating calls. If the number of busy bandwidth units is greater than or equal to bandwidth threshold, the arriving new calls are queued. The results indicate that, our scheme outperforms other proposed scheme in terms of handoff dropping, new call blocking probabilities and utilization, and als...
Density-aware cell zooming
YAMAN, Okan; Eroğlu, Alperen; Onur, Ertan (2018-02-22)
Ultra-dense deployments and mobile cells significantly change cellular networking paradigm. Infrastructure and topology of cellular networks become dynamic as opposed to legacy systems where the infrastructure is assumed to be stationary. As topology morphs, base station or user density of networks also change impacting the performance in terms of resource utilization and quality of service. To increase network capacity, preserve coverage and conserve energy, network density should be considered in communic...
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 ...
Citation Formats
A. Eroğlu and E. Onur, “Density-aware outage in clustered Ad Hoc networks,” 2018, Accessed: 00, 2020. [Online]. Available: