@inproceedings{037246b7d7b2419aa30deb7b498865c6,
title = "Distributed estimation of the degree distribution in wireless sensor networks",
abstract = "A distributed consensus algorithm for estimating the degree distribution of a graph is proposed. The proposed algorithm is based on average consensus and in-network empirical mass function estimation. It is fully distributed in the sense that each node in the network only needs to know its own degree, and nodes do not need to be labeled. The algorithm works for any connected graph structure in the presence of communication noise. The performance of the algorithm is analyzed. A discussion on how the properties of the graph degree distribution can be exploited for post-processing after consensus is reached is given. Simulation results corroborating the theory are also provided.",
keywords = "Average Consensus, Degree Distribution, Degree Matrix, Probability Mass Function, Wireless Sensor Networks",
author = "Sai Zhang and Jongmin Lee and Cihan Tepedelenlioglu and Andreas Spanias",
year = "2016",
doi = "10.1109/GLOCOM.2016.7841740",
language = "English (US)",
series = "2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings",
note = "59th IEEE Global Communications Conference, GLOBECOM 2016 ; Conference date: 04-12-2016 Through 08-12-2016",
}