Abstract
Numerous fields have wide range of applications regarding Internet of Things (IoT) specially smart cities. Due to increasing day to day growth in number of applications, there is exponential rise in requirement of IoT devices. IoT network is becoming complex persistently which brings the significant challenge to the robustness of network topology. IoT is the backbone of smart cities due to inter connecting wide range of devices and converting a conventional city to smart city. To improve network topology robustness against targeted, malicious and intentional attacks have become a critical issue. To deal with the problem in this article, Enhanced Angle Sum Operation (EASO) ROSE is presented. Proposed scheme improves the robustness of network topology without effecting node degree distribution and scale-free property. Topology robustness is achieved by degree difference and angle sum operations. Extensive simulation results verify that our proposed scheme efficiently generate scale-free typologies for IoT in smart cities and significantly improve topology robustness against malicious and targeted attacks.
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References
Collier, S.E.: The emerging enernet: convergence of the smart grid with the internet of things. In: 2015 IEEE Rural Electric Power Conference (REPC) (2015)
Stankovic, J.A.: Research directions for the Internet of Things. IEEE Internet Things J. 1(1), 3–9 (2014)
Javaid, N., Sher, A., Nasir, H., Guizani, N.: Intelligence in IoT based 5G networks: opportunities and challenges. IEEE Commun. Mag. 56(10), 94–100 (2018)
Naz, A., Javaid, N., Iqbal, M.M., Ali, M., Imran, M., Khan, Z.A.: TBEENISH: threshold balanced energy efficient network integrated super heterogeneous protocol for WSNs. In: 32nd International Conference on Advanced Information Networking and Applications (IEEE AINA) (2018)
Butt, S.A., Bakar, K.A., Javaid, N., Gharaei, N., Ishmanov, F.H., Afzal, M.K., Mahmood, M.K., Mujahid, M.A.: Exploiting layered multi-path routing protocols to avoid void hole regions for reliable data delivery and efficient energy management for IoT-enabled underwater WSNs. Sensors 19, 510 (2019)
Mateen, A., Awais, M., Javaid, N., Ishmanov, F., Afzal, M.K., Kazmi, S.: Geographic and opportunistic recovery with depth and power transmission adjustment for energy-efficiency and void hole alleviation in UWSNs. Sensors 19(3), 709 (2019)
Hussain, R., Bouk, S.H., Javaid, N., Khan, A., Lee, J.: Realization of VANET-based clouds services through named data networking. IEEE Commun. Mag. 58, 168–175 (2018)
Sher, A., Khan, A., Javaid, N., Ahmed, S.H., Aalsalem, M., Khan, W.Z.: Void hole avoidance for reliable data delivery in IoT enabled underwater wireless sensor networks. Sensors 18, 3271 (2018)
Qureshi, T.N., Javaid, N.: Enhanced adaptive geographic opportunistic routing with interference avoidance assisted with mobile sinks for underwater wireless sensor network. In: International Conference on Frontiers of Information Technology (2018)
Qureshi, T.N., Javaid, N., Khan, A.H., Iqbal, A., Akhtar, E., Ishfaq, M.: Balanced energy efficient network integrated super heterogenous protocol for wireless sensor networks. In: International Workshop on Body Area Sensor Networks (BASNet) (2013)
Naz, A., Javaid, N., Qureshi, T.N., Imran, M., Ali, M., Khan, Z.A.: EDHBPSO: enhanced differential harmony binary particle swarm optimization for demand side management in smart grid. In: 32nd International Conference on Advanced Information Networking and Applications (IEEE AINA) (2018)
Qureshi, T.N., Javaid, N., Naz, A., Ahmad, W., Imran, M.: A novel meta-heuristic hybrid enhanced differential harmony wind driven (EDHWDO) optimization technique for demand side management in smart grid. In: 32nd International Conference on Advanced Information Networking and Applications (IEEE AINA) (2018)
Qiu, T., Liu, J., Si, W., Han, M., Ning, H., Atiquzzaman, M.: A data-driven robustness algorithm for the internet of things in smart cities. IEEE Commun. Mag. (2017)
Wu, J., et al.: Spectral measure of structural robustness in complex networks. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 41(6), 1244–1252 (2011)
Qiu, T., Zhao, A., Xia, F., Si, W., Do, W.: ROSE: robustness strategy for scale-free wireless sensor networks. IEEE/ACM Trans. Networking 55, 18–23 (2017)
Li, R.H., Yu, J.X., Huang, X., Cheng, H., Shang, Z.: Measuring robustness of complex networks under MVC attack. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, New York, NY, USA, pp. 1512–1516, October/November 2012
Barabási, A.-L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)
Schneider, C.M., Moreira, A.A., Andrade Jr., J.S., Havlin, S., Herrmann, H.J.: Mitigation of malicious attacks on networks. Proc. Nat. Acad. Sci. USA 108(10), 3838–3841 (2011)
Buesser, P., Daolio, F., Tomassini, M.: Optimizing the robustness of scale-free networks with simulated annealing. In: Proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA), Ljubljana, Slovenia, pp. 167–176, April 2011
Liu, L., Qi, X., Xue, J., Xie, M.: A topology construct and control model with small-world and scale-free concepts for heterogeneous sensor networks. Int. J. Distrib. Sens. Netw. 10(3), 1–8 (2014). Art. no. 374251
Xiao, W., Lin, L., Chen, G.: Vertex-degree sequences in complex networks: new characteristics and applications. Physica A 437(11), 437–441 (2015)
Frank, H., Frisch, I.T.: Analysis and design of survivable networks. IEEE Trans. Commun. Tech. 18, 501–519 (1970)
Latora, V., Marchiori, M.: Efficient behavior of small-world networks. Phys. Rev. Lett. 87, 198701 (2005)
Sydney, A., Scoglio, C., Youssef, M., Schumm, P.: Characterizing the robustness of complex networks. IJITST 2, 291–320 (2010)
Fiedler, M.: Algebraic connectivity of graphs. Czech Math. J. 23, 298–305 (1973)
Holme, P., Kim, B.J., Yoon, C.N., Han, S.K.: Attack vulnerability of complex networks. Phys. Rev. E 65, 056109–056123 (2002)
Zhou, M., Liu, J.: A memetic algorithm for enhancing the robustness of scale-free networks against malicious attacks. Phys. A Statist. Mech. Appl. 410, 131–143 (2014)
Prendeville, S., Cherim, E., Bocken, N.: Circular cities: mapping six cities in transition. Environ. Innov. Societal Transitions 26, 171–194 (2018)
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Qureshi, T.N., Javaid, N., Butt, S.A., Khan, W., Changazi, S.A., Iqbal, M.M. (2019). Enhanced Robustness Strategy for IoT in Smart Cities Based on Data Driven Approach. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_105
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