移動社群之緩衝區管理策略

現代社會網際網路不斷的演進，這樣的進步影響了人民的生活方式、溝通方式、資訊取得方式、知識獲取方式，而人們為了取得更多的資訊，人與人之間開始建立關係，進而形成了所謂的社群，而隨著時代的進步，人們一路由社群、虛擬社群，一路演變到現在的移動社群，在移動社群中以行動裝置為每一個節點，而每一個節點都具備移動性質，因為節點具有移動性，造成裝置會接收大量資訊，因此本研究主要設計緩衝管理機制的路由，針對移動社群上的資訊管理，以現代移動社群情境中三種特性，將三種特性分別設計到本研究所提出的資源效用導向的路由策略當中，在新的資訊要進入緩衝區時管理策略就會啟動，本研究主要以網路模擬器來進行仿真實驗，為求仿真實驗的可靠性，也以學術研討會中的真實移動軌跡進行模擬，模擬器中，每一個節點具備本研究所設計之路由方法，並會分別在緩衝管理策略幫助移動社群下使用者找出資訊之效用值，讓資訊散播效益最大化。

關鍵字

移動社群；資訊散播；緩衝管理；延遲容忍網路

並列摘要

Nowadays, the Internet constantly evolving, such progress affects people's lifestyles, communication, ways to obtain information, knowledge acquisition mode, and people in order to get more information and start building relationships between people, and forming the community, and with the progress of the times, the community evolving virtual community until mobile social networking gradually. In mobile social Networking, each node with mobile device are mobility, because nodes have mobility, causing the device will receive a lot of information, so this study primarily designed the buffer management routing to manage information on the mobile social networking, we use three properties from mobile social networking, the three properties were designed to the routing policy for resource planning by utility-driven in this study. While the new information enter to the buffer zone will start this routing policy. This study use the ONE (Opportunistic Network Environment simulator) simulator to simulate the experimental for seeking simulation reliability, but also use real traced file from conference. In simulation, each node has a routing policy with buffer management strategies in this study design. This study help user identify the utility value of information under mobile social networking, let the information spread to maximize efficiency.

並列關鍵字

Information dissemination ； Buffer Management ； Delay-tolerant-network ； Mobile Social Networking

參考文獻

Carroll, J. M., & Rosson, M. B. (2008). Theorizing mobility in community networks. International Journal of Human-Computer Studies, 66(12), 944–962.

De Abreu, C. S., & Salles, R. M. (2014). Modeling Message Diffusion in Epidemical DTN. Ad Hoc Netw., 16, 197–209.

Hayes, A., & Wilson, D. (2004). Peer-to-peer information sharing in a mobile ad hoc environment. In Sixth IEEE Workshop on Mobile Computing Systems and Applications, 2004. WMCSA 2004 (pp. 154–162).

Karamshuk, D., Boldrini, C., Conti, M., & Passarella, A. (2011). Human mobility models for opportunistic networks. Communications Magazine, IEEE, 49(12), 157-165.

Kovachev, D., Renzel, D., Klamma, R., & Cao, Y. (2010). Mobile Community Cloud Computing: Emerges and Evolves. In 2010 Eleventh International Conference on Mobile Data Management (MDM) (pp. 393–395). doi:10.1109/MDM.2010.78

國際替代計量

移動社群之緩衝區管理策略

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