A Review of Various Swarm Intelligence Based Routing Protocols for Iot
The paper provides insight into various swarm intelligence based routing protocols for Internet of Things (IoT), which are currently available for the Mobile Ad-hoc networks (MANETs) and wireless sensor networks (WSNs). There are several issues which are limiting the growth of Internet of Things. These include the reliability, link failures, routing, heterogeneity etc. The MANETs and WSNs routing issues impose almost same requirements for IoT routing mechanism. The recent work of the worldwide researchers is focused on this area. protocols are based on the principles of swarm intelligence. The swarm intelligence is applied to achieve the optimality and the efficiency in solving the complex, multi-hop and dynamic requirements of the wireless networks. The application of the ACO technique tries to provide answers to many routing issues. Using the swarm intelligence and ant colony optimization principles, it has been seen that, the protocols’ efficiency definitely increases and also provides more scope for the development of more robust, reliable and efficient routing protocols for the IoT. As the various standard protocols available for MANETs and WSNs are not reliable enough, the paper finds the need of some efficient routing algorithms for IoT.
 Muddassar, F., Gianni, A. and Caro, D. (2010), “Routing Protocols for Next-Generation Networks Inspired by Collective behaviors of Insect Societies: An Overview”, Swarm Intelligence, pp. 101-160. http://dx.doi.org/10.1007/978-3-540-74089-6_4.
 Fatih, Ç., Ahmet Z., and Tuncel, S. (2010), “A survey on swarm intelligence based routing protocols in wireless sensor networks”, International Journal of the Physical Sciences, Vol. 5, pp. 2118-2126.
 Bello, O., and Zeadally, S. (2013), “Communication issues in the Internet of Things, in Next Generation Wireless Technologies: 4G and Beyond”, Springer-Verlag, pp. 189–219.
 Jian-Feng, Y., Yang, G. and Yang, L. (2011), “Ant colony optimization for wireless sensor networks routing”, Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC), Beijing, pp. 400 – 403. http://dx.doi.org/10.1109/ICMLC.2011.6016670.
 Garnier, S., Gautrais, J., and Theraulaz, G. (2007), “The biological principles of swarm intelligence”, Swarm Intelligence, Vol.1, No.1, pp. 3-31
 Dhumane, A., Prasad, R., and Prasad, J. (2016), “Routing Issues in Internet of Things: A Survey”, Proceedings of the International MultiConference, Hongkong, China, Vol. 1, pp. 16-18.
 Goyal, D., and Tripathy, M. R. (2012), “Routing protocols in wireless sensor networks: a survey”, Proceedings of the Second International Conference on Advanced Computing & Communication Technologies, IEEE, Rohtak, India, pp. 474-480.
 Ashton, K. (2009), “That ‘internet of things’ thing”, RFiD Journal, Vol. 22, No.7, pp. 97-114.
 Rawat, P., Singh, K. D., Chaouchi, H., and Bonnin, J. M. (2014), “Wireless sensor networks: a survey on recent developments and potential synergies”, the Journal of supercomputing, Vol. 68, No.1, pp. 1-48.
 Bello, O., and Zeadally, S. (2016), “Intelligent device-to-device communication in the internet of things”, IEEE, Vol. 10, No. 3, pp. 1172-1182.
 Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., and Ayyash, M. (2015), “Internet of things: A survey on enabling technologies, protocols, and applications”, IEEE Communications Surveys & Tutorials, Vol. 17, No. 4, pp. 2347-2376. http://dx.doi.org/10.1109/ COMST.2015.2444095.
 Dave, E, “The Internet of Things, How the Next Evolution of the Internet is changing everything”, retrieved on October 24, 2016 from http://www.cisco.com/c/dam/en_us/about/ ac79/docs/innov/IoT_IBSG_0411FINAL.pdf
 Borgia, E. (2014), “The Internet of Things vision: Key features, applications and open issues”, Computer Communications, Vol. 54, pp. 1-31. https://doi.org.org/10.1016/j. comcom.2014.09.008
 Zhu, Q., Wang, R., Chen, Q., Liu, Y., and Qin, W. (2010), “IoT gateway: Bridging wireless sensor networks into internet of things”, Proceedings of the IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing (EUC), Hongkong, China, pp. 347-352. https://doi.org.org/10.1109/EUC.2010.58.
 Zorzi, M., Gluhak, A., Lange, S., and Bassi, A. (2010), “From today’s intranet of things to a future internet of things: a wireless-and mobility-related view”, IEEE Wireless Communications, Vol.17, No.6, pp. 44-51. http://dx.doi.org/10.1109/MWC.2010.5675777.
 Mainetti, L., Patrono, L., and Vilei, A. (2011), “Evolution of wireless sensor networks towards the internet of things: A survey”, Proceedings of the 19th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Italy, IEEE, pp. 1-6.
 Farooq, M., and Di Caro, G. A. (2008), “Routing protocols for next-generation networks inspired by collective behaviours of insect societies: An overview”, Swarm Intelligence: Introduction and Applications, Springer-Verlag, pp. 1075-1098.
 Sarma, A. C., and Girao, J. (2009), “Identities in the future internet of things”, Wireless personal communications, Vol. 49, No.3, pp. 353-363.
 Hui, X., Zhigang, Z., and Xueguang, Z. (2009), “A novel routing protocol in wireless sensor networks based on ant colony optimization”, Proceedings of the International Conference on Environmental Science and Information Application technology, IEEE, Vol.2, pp. 646-649.
 Di Caro, G., Ducatelle, F., and Gambardella, L. M. (2005), “AntHocNet: An adaptive nature inspired algorithm for routing in mobile ad hoc networks”, European Transactions on Telecommunications, Vol. 16 No. 5, pp. 443–455.
 Wang, X. B., Zhan, Y. Z., Wang, L. M., and Jiang, L. P. (2008), “Ant colony optimization and Ad hoc on-demand multipath distance vector (AOMDV) based routing protocol”, in the Proceedings of the Fourth International Conference on Natural Computation, IEEE, Vol. 7, pp. 589-593.
 Baras, J. S., and Mehta, H. (2003), “A probabilistic emergent routing algorithm for mobile ad hoc networks”, in WiOpt’03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, pp. 10.
 Camilo, T., Carreto, C., Silva, J. S., and Boavida, F. (2006), “An energy-efficient ant-based routing algorithm for wireless sensor networks”, the International Workshop on Ant Colony Optimization and Swarm Intelligence, Springer, Berlin Heidelberg, pp. 49-59.
 Okazaki, A. M., and Frohlich, A. A. (2011), “Ad-zrp: Ant-based routing algorithm for dynamic wireless sensor networks”, Proceedings of the 18th International Conference on Telecommunications (ICT), IEEE, pp. 15-20.
 Hussein, O., and Saadawi, T. (2003), “Ant routing algorithm for mobile Ad hoc networks (ARAMA)”, Proceedings of the International Conference on Performance, Computing, and Communications Conference, IEEE, pp. 281-290.
 García Villalba, L. J., Sandoval Orozco, A. L., Trivino Cabrera, A., and Barenco Abbas, C. J. (2009), “Routing protocols in wireless sensor networks”, Sensors, Vol.9, No.11, pp. 8399-8421.
 Ramkumar, K. R., and Ravichandran, C. S. (2011), “ACBRAAM: A Content-Based Routing Algorithm Using Ant Agents for MANETs”, BVICAM’s International Journal of Information Technology, Vol. 3, No. 1, pp. 100-112.
 Ramkumar, K. R., and Ravichandran, C. S. (2011), “A Predictive Routing Algorithm Using Ant Agents for Manets”, High-Performance Networking, Computing, and Communication Systems, Springer, Berlin Heidelberg, pp. 245-252.
 Khan, R., Khan, S. U., Zaheer, R., and Khan, S. (2012), “Future internet: the internet of things architecture, possible applications and key challenges”, Proceedings of the 10th International Conference on Frontiers of Information Technology (FIT), Pakistan, IEEE, pp. 257-260.
 Sun, Q. B., Liu, J., Li, S., Fan, C. X., and Sun, J. (2010), “Internet of Things: Summarize on Concepts, Architecture and Key Technology Problem”, Journal of Beijing University of Posts and Telecommunications, Vol.3, No.3, pp. 1-9.
 Tan, L., and Wang, N. (2010), “Future internet: The internet of things”, Proceedings of the 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), Chengdu, China, Vol. 5, pp. 376.
 Ramkumar, K. R., and Ravichandran, C. S. (2012), “Analog Based Routing Algorithm using Ant Agents for MANETs (ABRAAM)”, Elsevier Procedia Engineering, Vol. 38, pp. 3139- 3151. https://dx.doi.org/10.1016/j.proeng.2012.06.365.
 Abowd, G.D., and Mynatt, E.D. (2000), “Charting past, present, and future research in ubiquitous computing”, ACM Transactions on Computer-Human Interaction, Vol. 7, No. 1, pp. 29–58. https://dx.doi.org/10.1145/344949.344988.
 Khalil, N., Abid, M. R., Benhaddou, D., and Gerndt, M. (2014), “Wireless sensors networks for Internet of Things”, Proceedings of the 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), IEEE, pp. 1-6. https://dx.doi. org/10.1109/ISSNIP.2014.6827681.
 Martinez, P., and Skarmeta, A., A white paper on “Empowering the Internet of Things with Software Defined Networking”, FP7 European research project on the future Internet of things.
 Arkady Z., and Prem P.J. (2015), “Discovery in the Internet of Things: The Internet of Things”, Ubiquity symposium, Ubiquity 2015, Article 2, pp. 1-10.
 Sicari S., Rizzardi A., Grieco L. A., and Coen-Porisini A. (2015), “Security, privacy and trust in Internet of Things: The road ahead”, Elsevier, Computer Networks, Vol. 76, pp. 146–164.
 Bello O., Zeadally S., and Badra M. (2016), “Network layer inter-operation of Device-to- Device communication technologies in Internet of Things (IoT)”, Elsevier, Ad Hoc Networks, Vol 57, pp. 52-62. https://dx.doi.org/10.1016/j.adhoc.2016.06.010.
 Heer T., Garcia-Morchon O., Hummen R., Keoh S.L., Kumar S.S., Wehrle K (2011), “Security challenges in the IP-based Internet of Things”, Wireless Personal Communication, Vol. 61 (3), pp. 527–542.
 Dayong Y., Zhang M., and Yang Y. (2015), “A multi-agent framework for packet routing in wireless sensor networks”, Sensors, Vol. 15(5), pp. 10026–10047.
 Shi L., Yao Z., Zhang B., Li C., and Ma J. (2015), “An efficient distributed routing protocol for wireless sensor networks with mobile sinks”, International Journal of Communication Systems, Vol. 28(11), pp. 1789–1804. https://dx.doi.org/10.1002/dac.2785.
 Sun Y., Sun J., Zhao F., and Hu Z. (2016), “Delay constraint multipath routing for wireless multimedia ad hoc networks”, International Journal of Communication Systems, Vol.29(1), pp.210–225. https://dx.doi.org/10.1002/dac.2814.
 Tao F., Wang Y., Zuo Y., Yang H., and Zhang M. (2016), “Internet of Things in product lifecycle energy management”, Elsevier, Journal of Industrial Information Integration, Vol. 1, pp. 26–39. https://dx.doi.org/10.1016/j.jii.2016.03.001.
 Feng X., Liu X., and Yu H. (2016), “A new Internet of Things group search optimizer”, International Journal of Communication Systems, Vol. 29(3), pp. 535–552. https://dx.doi. org/10.1002/dac.2891.
 Perera C., Zaslavsky A., Christen P. and Georgakopoulos D. (2014), “Context Aware Computing for The Internet of Things: A Survey,” IEEE, Vol. 16(1), pp. 414–454. https:// dx.doi.org/10.1109/SURV.2013.042313.00197.
 Dastjerdi A. V., and Buyya R. (2016), “Fog Computing: Helping the Internet of Things Realize Its Potential”, IEEE, Computer, Vol. 49(8), pp. 112–116. https://dx.doi.org/10.1109/ MC.2016.245.
 P. J. Windley (2015), “API Access Control with OAuth: Coordinating interactions with the Internet of Things”, IEEE, Vol. 4(3), pp. 52–58. https://dx.doi.org/10.1109/MCE.2015.2421571.
 Guha R., Brickley D., and Macbeth S. (2016), “Schema.org: Evolution of Structured Data on the Web”, Communications ACM, Vol. 59(2), pp. 44–51.
 Loulloudes N., Chrystalla S., and Trihinas D. (2015), “Enabling Interoperable Cloud Application Management through an Open Source Ecosystem”, IEEE Internet Computing, Vol. 19(3), pp. 54–59. https://dx.doi.org/10.1109/MIC.2015.60.
 Huwei C., Hui Hui, Z. S., Dongfeng F., and Yilong H. (2017), “Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things”, Mobile Information Systems, Vol. 17, pp. 11.
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