Higher-Load Data Transmitting in Opportunistic Networks Based on Probability Analysis of Communicating Capabilities
Peng Li, Xiaoming Wang, Lichen Zhang, Junling Lu, Feng Zhang, Zaobo He · 2016
Opportunistic Network has become an international hotspot in according with the popularity of various mobile intelligent terminals. But the nodes with limited communication capabilities cannot satisfy the growing of large content data transmission. Aim to these issues, we propose a novel communication capacity calculation model of Opportunistic Network based on the classical Random Direction mobile model. We observe that different size of fragments in large content represents different delivery delays. Considering that the large content are always the multimedia data, it would necessarily produce additional head-part of every fragment, and this will affect the whole overhead of network. We define the restrain facts model of overhead and put forward an optimal fragment size algorithm. Finally, we designed and evaluated the methods and algorithms in simulate circumstance of Opportunistic Networks. The experiments results show that the average value of contact duration and total times of contacts analyzed from logs are all in according with the contact duration expectation and contact times calculated from the model. The optimal size of fragment is located at the well position in the proper range of fragment size.