作者: Maria Michalopoulou , Petri Mahonen
DOI: 10.1109/LCOMM.2015.2406318
关键词:
摘要: Connectivity is one of the essential properties wireless networks. Although it influenced by many environmental factors, exhibits a strong and fundamental dependence on distances between nodes. Therefore, connectivity networks from distance perspective has been subject constant interest for research community. However, despite fact that assumption uniformly distributed nodes highly unrealistic commercial networks, analytical work non-uniform node distributions almost non-existent. In real cases may be placed in way such they form clusters. this letter we consider set clustered according to symmetric Gaussian distribution present an approximate estimation probability density function critical range cluster. This is, best our knowledge, first distribution.