Wireless sensors in complex networks: study and performance evaluation of a new hybrid model

Vincenzo Curia; Amilcare Francesco Santamaria; Cesare Sottile; Miroslav Voznak

doi:10.1117/12.2053307

21 May 2014 Wireless sensors in complex networks: study and performance evaluation of a new hybrid model

Vincenzo Curia, Amilcare Francesco Santamaria, Cesare Sottile, Miroslav Voznak

Proceedings Volume 9103, Wireless Sensing, Localization, and Processing IX; 910307 (2014) https://doi.org/10.1117/12.2053307
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Many recent research efforts have confirmed that, given the natural evolution of telecommunication systems, they can be approached by a new modeling technique, not based yet on traditional approach of graphs theory. The branch of complex networking, although young, is able to introduce a new and strong way of networks modeling, nevertheless they are social, telecommunication or friendship networks. In this paper we propose a new modeling technique applied to Wireless Sensor Networks (WSNs). The modeling has the purpose of ensuring an improvement of the distributed communication, quantifying it in terms of clustering coefficient and average diameter of the entire network. The main idea consists in the introduction of hybrid Data Mules, able to enhance the whole connectivity of the entire network. The distribution degree of individual nodes in the network will follow a logarithmic trend, meaning that the most of the nodes are not necessarily adjacent but, for each pair of them, there exists a relatively short path that connects them. The effectiveness of the proposed idea has been validated thorough a deep campaign of simulations, proving also the power of complex and small-world networks.

Citation Download Citation

Vincenzo Curia, Amilcare Francesco Santamaria, Cesare Sottile, and Miroslav Voznak "Wireless sensors in complex networks: study and performance evaluation of a new hybrid model", Proc. SPIE 9103, Wireless Sensing, Localization, and Processing IX, 910307 (21 May 2014); https://doi.org/10.1117/12.2053307

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