Capacity of Inhomogeneous Hybrid Wireless Networks in Three-Dimensional Space

Feng Wu, Jiang Zhu, Yilong Tian, Zhipeng Xi

Abstract


Network capacity has been widely studied in recent years. However, most of the literatures focus on the networks where nodes are distributed in a two-dimensional space. In this paper, we propose a 3D hybrid sensor network model. By setting different sensor node distribution probabilities for cells, we divide all the cells in the network into dense cells and sparse cells. Analytical expressions of the aggregate throughput capacity are obtained. We also find that suitable inhomogeneity can increase the network throughput capacity.

Keywords


Network Capacity; Hybrid; Inhomogeneity; Wireless Sensor Networks

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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