Pub Date : 1900-01-01DOI: 10.1109/NTMS.2018.8328688
Alperen Eroğlu, E. Onur, Mehmet Turan
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 in addition to comparison with two different estimators. The accuracy of the estimator is impressive even under a high amount of distance measurement errors. We also demonstrate impact of density on network outage and transmission power adaption via proposing 2-D analytic models based on density and validating these models with the proposed density estimator.
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