Abstract
Today’s network becomes more complex due to which performances of network decrease like message delivery ratio, overhead ratio, average latency, cost, etc. A new technique comes to forward the message on the basis of social infrastructure. In this paper, we analyze and compare the result of social-based opportunistic routing protocol with different mobility traces, and we compare the BubbleRap, DLife (daily life routine routing algorithm) and dLifeComm (daily life routine community-based routing algorithm) social routing protocol with different movement models and real traces with respect to delivery ratio, overhead ratio, and average latency. Comparison is based on the real human traces and synthetic mobility model. We use Opportunistic Network Environment (ONE) simulator for result analysis. As from the simulation result, delivery ratio of BubbleRap is better than DLife and dLifeComm when node follows the community-based movement.
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References
Arastouie, N., Sabaei, M., Bakhshi, B.: Near-optimal online routing in opportunistic networks. Int. J. Commun. Syst. 32(3), e3863 (2018)
Costantino, G., Maiti, R.R., Martinelli, F., Santi, P.: Losero: a locality sensitive routing protocol in opportunistic networks. In: Proceedings of the 31st Annual ACM Symposium on Applied Computing, vol. 14, no. 7, pp. 644–650 (2016)
Eagle, N., Pentland, A.S.: Reality mining: Sensing complex social systems. Personal Ubiquitous Comput. 10(4), 255–268 (2006)
Hossen, S., Rahim, M.S.: Impact of mobile nodes for few mobility models on delay-tolerant network routing protocols, pp. 1–6 (2016)
Hui, P., Crowcroft, J., Yoneki, E.: Bubble rap: social-based forwarding in delay-tolerant networks. IEEE Trans. Mob. Comput. 10(11), 1576–1589 (2011)
Keränen, A., Ott, J., Kärkkäinen, T.: The one simulator for dtn protocol evaluation, vol. 55, pp. 1–10 (2009)
Mendes, P., Sofia, R.C., Soares, J., Tsaoussidis, V., Diamantopoulos, S., Sarros, C.A.: Information-centric routing for opportunistic wireless networks,vol. 2, pp. 194–195 (2018)
Moreira, W., Mendes, P., Sargento, S.: Opportunistic routing based on daily routines. In: 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), vol. 6, pp. 1–6 (June 2012)
Narmawala, Z., Srivastava, S.: Community aware heterogeneous human mobility (cahm): model and analysis. Pervasive Mob. Comput. 21, 119–132 (2015)
Pal, S., Saha, B.K., Misra, S.: Game theoretic analysis of cooperative message forwarding in opportunistic mobile networks. IEEE Trans. Cybern. 47(12), 4463–4474 (2017)
Rashidibajgan, S., Doss, R.: Privacy-preserving history-based routing in opportunistic networks. Comput. Secur. 84, 244–255 (2019)
Scott, J., Gass, R., Crowcroft, J., Hui, P., Diot, C., Chaintreau, A.: CRAWDAD dataset cambridge/haggle (v. 2009-05-29) (May 2009)
Sharma, D.K., Dhurandher, S.K., Agarwal, D., Arora, K.: krop: k-means clustering based routing protocol for opportunistic networks. J. Ambient Intell. Humanized Comput. 10(4), 1289–1306 (2019)
Socievole, A., Caputo, A., De Rango, F., Fazio, P.: Routing in mobile opportunistic social networks with selfish nodes. Wirel. Commun. Mob. Comput. pp. 1–15 (2019)
Wu, J., Chen, Z., Zhao, M.: Weight distribution and community reconstitution based on communities communications in social opportunistic networks. In: Peer-to-Peer Networking and Applications, vol. 12, no. 1, pp. 158–166 (2019)
Wu, Y., Zhao, Y., Riguidel, M., Wang, G., Yi, P.: Security and trust management in opportunistic networks: a survey. Secur. Commun. Netw. 8(9), 1812–1827 (2015)
Xiao, M., Wu, J., Huang, L.: Community-aware opportunistic routing in mobile social networks. IEEE Trans. Comput. 63(7), 1682–1695 (2014)
Zeng, Y., Xiang, K., Li, D., Vasilakos, A.V.: Directional routing and scheduling for green vehicular delay tolerant networks. Wirel. Netw. 19(2), 161–173 (2013)
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Singh, S., Singh, P., Tiwari, A.K. (2020). Comprehensive Analysis of Social-Based Opportunistic Routing Protocol: A Study. In: Singh, P., Pawłowski, W., Tanwar, S., Kumar, N., Rodrigues, J., Obaidat, M. (eds) Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019). Lecture Notes in Networks and Systems, vol 121. Springer, Singapore. https://doi.org/10.1007/978-981-15-3369-3_6
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DOI: https://doi.org/10.1007/978-981-15-3369-3_6
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