A social relationship based transmission scheme in MANET

• Main Authors: Lee, Pei Hsuan, 李佩璇
• Other Authors: Jang, Hung Chin
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/26424682388337797485

碩士 === 國立政治大學 === 資訊科學學系 === 100 === With the coming of information era, our lives have been filled with varied mobile devices, such as cell phones, notebooks, iPods, and iPads. All these devices are equipped with more than one wireless network interface, including Infrared, Bluetooth, WiFi, mobile network interface etc. Due to the popularity of mobile devices, Mobile Ad Hoc Networks have been more widespread than ever. However, movable nodes and the constantly changing topology could cause transmission interruption. Therefore, “how to obtain trustworthy information from trusty nodes” is a significant issue. This thesis geared toward the social network which is inseparable from our lives at this moment. In this thesis, social network analysis is employed, and the relationship data is used as the base of relay. We propose a relay-node selection strategy of Ego-Centric Social Network Routing (ECSNR), and apply the method of using candidate list. All these can be used to speed up the transmission process. Because the candidate nodes are the closest ones to the overloaded nodes, the relay process can be more efficient and speedy. The transmission can also be done through the stable and trustworthy nodes. When a message can not be transmitted through the social network aided nodes, the interest based nodes can help to transmit according to the interest similarity. The results of experiment simulations show that along with the increase of network nodes, the packet delivery ratio can be improved by 7.4% ~ 15.8%. The end to end delay can be improved by 10% ~ 15.2%, and the average control overhead is within 9.4%. The average hop count can be reduced by 1.7 hops. Given the nodes are moving, the packet delivery ratio can be improved by 8%~24.2%, and the average control overhead is within 8.8%. The end to end delay can be improved by 4.7% ~ 15.2%, and the average hop count can be reduced by 2.4 hops.