naa a22 4500 510793592 CHVBK 20180411083328.0 cr unu---uuuuu 180411e20130601xx s 000 0 eng 10.1007/s11277-012-0776-2 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0776-2 RIS [Elektronische Daten] A Reciprocal Incentive Scheme in Selfish Opportunistic Networks [Guangsong Zhao, Ming Chen, Xianglin Wei] Data dissemination in opportunistic networks has been extensively studied in recent years. In the resource-constrained opportunistic networks (e.g., the buffer size, the communication bandwidth and the energy of nodes are scarce), the nodes usually behave selfishly. In other words, the nodes only store data objects they are interested in and are not willing to contribute their own resource to store and forward data objects for other nodes. Their selfish behaviors significantly decrease the data dissemination performance of opportunistic networks. In this paper, a Reciprocal Incentive Scheme (RIS) is put forward, which can create a win-win situation for the Internet Service Provider, A-type nodes (the nodes which can freely download a large amount of content from the Internet) and B-type nodes (the nodes which must pay much money to the ISP for downloading data objects from the Internet by direct connection). When RIS is deployed in a selfish opportunistic network, we analyze in detail how these selfish nodes select data objects for their limited buffer to maximize their revenue. Furthermore, this paper investigates the relationship between the decisions made by the nodes and the scope of network information they maintain. Extensive trace-driven simulations based on MIT trace are conducted to evaluate the data dissemination performance of the whole system when all nodes try to maximize their revenue during the process of data dissemination. The results demonstrate that RIS could increase the average delivery ratio of each channel by 18% and reduce the average receiving delay of each channel by 40%. Moreover, B-type nodes only need to pay much less money for each subscribed data object than the situation where no incentive scheme is adopted in the system. The simulation results also show that the larger scope of network information the nodes maintain, the better performance RIS can achieve. Springer Science+Business Media, LLC., 2012 Opportunistic networks nationallicence Selfish nationallicence Incentive scheme nationallicence Channel nationallicence Zhao Guangsong Institute of Command Automation, PLA University of Science and Technology, 210007, Nanjing, China aut Chen Ming Institute of Command Automation, PLA University of Science and Technology, 210007, Nanjing, China aut Wei Xianglin Institute of Command Automation, PLA University of Science and Technology, 210007, Nanjing, China aut Wireless Personal Communications Springer US; http://www.springer-ny.com 70/4(2013-06-01), 1711-1734 0929-6212 70:4<1711 2013 70 11277 https://doi.org/10.1007/s11277-012-0776-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0776-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhao Guangsong Institute of Command Automation, PLA University of Science and Technology, 210007, Nanjing, China aut NATIONALLICENCE 700 1- Chen Ming Institute of Command Automation, PLA University of Science and Technology, 210007, Nanjing, China aut NATIONALLICENCE 700 1- Wei Xianglin Institute of Command Automation, PLA University of Science and Technology, 210007, Nanjing, China aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 70/4(2013-06-01), 1711-1734 0929-6212 70:4<1711 2013 70 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer