Node Status Aware Distributed Cooperative Caching Mechanism for Opportunistic Networks
WANG Ruyan①② YANG Huiping①③ YING Jun①③ SHU Na①②
①(Optical Communication and Network Key Laboratory of Chongqing, Chongqing 400065, China) ②(College of Telecommunication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China) ③(College of Electron Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
By reasonably exploiting the collaborative relationships between nodes and the limited cache resources of neighbor nodes, the cache utilization rate and the message delivery probability of opportunistic networks can be effectively improved. A node status aware distributed cooperative cache management mechanism is proposed in the paper, where the importance degree of a given message can be dynamically estimated by perceiving its spreading degree to determine the caching priority. Furthermore, according to the active degree and the relative viscosity, the encounter probability of a given message to its destination node can be obtained for the design of adaptive cooperative cache management strategies for messages in each cache area respectively. When the cache is fully occupied, the collaboration node within the transmission range is dynamically selected, thus the message transferring to the collaboration node and the efficient utilization of caching resources can be ideally achieved. The results show that the proposed caching mechanism can fully exploit the limited cache resources and greatly improve the message delivery rate and the buffer utilization rate.
WU Dapeng, ZHANG Hongpei, WANG Honggang, et al. Quality-of-protection-driven data forwarding for intermittently connected wireless networks[J]. IEEE Wireless Communications, 2015, 22(4): 66-73. doi: 10.1109/MWC. 2015.7224729.
[2]
ZHANG Zufan, YI Yinxue, YANG Jing, et al. Energy efficiency based on joint data frame fragmentation and cooperative transmission[J]. China Communications, 2014, 11(10): 96-105. doi: 10.1109/CC.2014.6969798.
[3]
CHEN Honglong and LOU Wei. GAR: Group aware cooperative routing protocol for resource-constraint opportunistic networks[J]. Computer Communications, 2014, 48: 20-29. doi: 10.1016/j.comcom.2014.03.022.
[4]
GAO Wei, CAO Guohong, IYENGAR A, et al. Cooperative caching for efficient data access in disruption tolerant networks[J]. IEEE Transactions on Mobile Computing, 2014, 13(3): 611-625. doi: 10.1109/TMC.2013.33.
[5]
WANG Yunsheng, WU Jie, and XIAO Mingjun. Hierarchical cooperative caching in mobile opportunistic social networks[C]. Global Telecommunications Conference (GLOBECOM 2014), Austin, USA, 2014: 411-416. doi: 10.1109/GLOCOM.2014.7036843.
[6]
PAN Hui, CROWCROFT J, and YONEKI E. BUBBLE rap: social-based forwarding in delay-tolerant networks[J]. IEEE Transactions on Mobile Computing, 2011, 10(11): 1576-1589. doi: 10.1109/TMC.2010.246.
WU Dapeng, JIN Jiwei, LÜ Yi, et al. Similarity aware community detecting method for social intermittently connected mobile network[J]. Journal of Electronics & Information Technology, 2013, 35(1): 141-146. doi: 10.3724/ SP.J.1146.2011.01178.
SHEN Jian, XIA Jingbo, FU Kai, et al. Active congestion control strategy based on historical probability in delay tolerant networks[J]. Journal of Computer Applications, 2014, 34(3): 644-648. doi: 10.11772/j.issn.1001-9081.2014.03.0644.
[9]
LI Ze and SHEN Haiying. SEDUM: exploiting social networks in utility-based distributed routing for DTNs[J]. IEEE Transactions on Computers, 2013, 62(1): 83-97. doi: 10.1109/TC.2011.232.
[10]
LIU Lei, CUI Zehan, XING Mingjie, et al. A software memory partition approach for eliminating bank-level interference in multicore systems[C]. Proceedings of the 21st International Conference on Parallel Architectures and Compilation Techniques, New York, USA, 2012: 367-376. doi: 10.1145 /2370816.2370869.
[11]
LILIEN L T, BEN OTHMANE L, ANGIN P, et al. A simulation study of ad hoc networking of UAVs with opportunistic resource utilization networks[J]. Journal of Network and Computer Applications, 2014, 38: 3-15. doi: 10.1016/j.jnca.2013.05.003.
[12]
LIU Yao, WANG Jianxin, ZHANG Shigeng, et al. A buffer management scheme based on message transmission status in delay tolerant networks[C]. Global Telecommunications Conference (GLOBECOM 2011), Houston, USA, 2011: 1-5. doi: 10.1109/GLOCOM.2011.6134084.
WU Dapeng, ZHANG Puning, and WANG Ruyan. Adaptive buffer management strategy with message delivery probability estimating method in opportunistic networks[J]. Journal of Electronics & Information Technology, 2014, 36(2): 390-395. doi: 10.3724/SP.J.1146.2012.01677.
