Abstract
In social communication, mobile devices can be regarded as socialization nodes in social networks. Furthermore, they carry and store useful information. Mobile devices can select destination nodes and deliver messages through opportunistic networks because messages can be securely and conveniently stored, carried, and transmitted with nodes. However, many communities may deliver messages often depending on one or two nodes. If those nodes are not enough cache and over-flooding, data transmission in communities may wait for a long time. In this study, weight distribution between nodes and communities reconstitution would be established to solve this problem in social opportunistic networks. With satisfactory results from simulation and comparison with some existing algorithms, the new method is found to not only decrease tendency of energy consumption but also improve the delivery ratio, overhead and End-to-end delay in social opportunistic networks.
Similar content being viewed by others
References
Hu Y, Liu A (2015) An efficient heuristic subtraction deployment strategy to guarantee quality of event detection for WSNs. Comput J 58(8):1747–1762
Dong M, Ota K, Yang LT, Liu A, Guo M (2016) LSCD: a lowstorage clone detection protocol for cyber-physical systems. IEEE Trans CAD Integr Circuits Syst 35(5):712–723
Dong M, Ota K, Li H, Du S, Zhu H, Guo S (2014) RENDEZVOUS: towards fast event detecting in wireless sensor and actor networks. Computing 96(10):995–1010
Dong M, Ota K, Liu A, Guo M (2016) Joint optimization of lifetime and transport delay under reliability constraint wireless sensor networks. IEEE Trans Parallel Distrib Syst 27(1):225–236
Aliotta JM, Pereira M, Johnson KW et al (2012) Microvesicle entry into marrow cells mediates tissue-specific changes in mRNA by direct delivery of mRNA and induction of transcription. Exp Hematol 38(3):233–245
Lokhov AY, Mézard M, Ohta H, Zdeborová L (2014) Inferring the origin of an epidemic with a dynamic message-passing algorithm. Phys Rev E 90(1):012801–012801
Jia WU, Zhigang CHEN, Ming ZHAO (2017) Effective information transmission based on socialization nodes in opportunistic networks. Comput Netw 129(Part 1):297–305. https://doi.org/10.1016/j.comnet.2017.10.005
Misra S, Ojha T, Mondal A (2015) Game-theoretic topology Controlfor opportunistic localization in sparse underwater sensor networks. IEEE Trans Mob Comput 14:990–1003
Wu J, Chen Z, Zhao M (2018) Information cache management and data transmission algorithm in opportunistic social networks. Wirel Netw 1–12. https://doi.org/10.1007/s11276-018-1691-6
Grossglauser M, Tse DNC (2002) Mobility increases the capacity of ad hoc wireless networks. IEEE/ACM Trans Netw 10:477–486
Wang G, Wang B, Gao Y (2010) Dynamic spray and wait routing algorithm with quality of node in delay tolerant network[C]//communications and mobile computing (CMC), 2010 international conference on. IEEE 3:452–456
Spyropoulos T, Psounis K, Raghavendra CS (2005) Spray and wait: an efficient routing scheme for intermittently connected mobile networks[C]//proceedings of the 2005 ACM SIGCOMM workshop on delay-tolerant networking. ACM 252–259
Leguay J, Friedman T, Conan V (2005) DTN routing in a mobility pattern space[C]//proceedings of the 2005 ACM SIGCOMM workshop on delay-tolerant networking. ACM 276–283
Burgess J, Gallagher B, Jensen D, et al. (2006) MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks[C]//INFOCOM 6: 1–11
Leguay J, Lopez-Ramos M, Jean-Marie K, et al. (2008) An efficient service oriented architecture for heterogeneous and dynamic wireless sensor networks[C]//local computer networks, 2008. LCN 2008. IEEE Conference on IEEE 740–747
Burns B, Brock O, Levine BN (2008) MORA routing and capacity building in disruption-tolerant networks. Ad Hoc Netw 6(4):600–620
Kavitha V, Altman E (2010) Analysis and Design of message ferry routes in sensor networks using polling models[C]//modeling and optimization in mobile, ad hoc and wireless networks (WiOpt), 2010 proceedings of the 8th international symposium on. IEEE 247–255
Acknowledgements
This work was supported in The National Natural Science Foundation of China(61672540); Hunan Provincial Natural Science Foundation of China (2018JJ3299, 2018JJ3682); China Postdoctoral Science Foundation funded project(2017 M612586); Foundation of Central South University(185684); Major Program of National Natural Science Foundation of China(71633006);
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wu, J., Chen, Z. & Zhao, M. Weight distribution and community reconstitution based on communities communications in social opportunistic networks. Peer-to-Peer Netw. Appl. 12, 158–166 (2019). https://doi.org/10.1007/s12083-018-0649-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12083-018-0649-x