[1] Luigi Atzori, Antonio Iera, and Giacomo Morabito. The internet of things: A survey. Computer networks, 54(15):2787–2805, 2010.
[2] Paolo Bellavista, Giuseppe Cardone, Antonio Corradi, and Luca Foschini. Convergence of manet and wsn in iot urban scenarios. IEEE Sensors Journal, 13(10):3558–3567, 2013.
[3] Luca Foschini, Tarik Taleb, Antonio Corradi, and Dario Bottazzi. M2m-based metropolitan platform for ims-enabled road traffic management in iot. IEEE Communications Magazine, 49(11):50–57, 2011.
[4] Peter Hall. Creative cities and economic development. Urban studies, 37(4):639–649, 2000.
[5] Renata Paola Dameri. Defining an evaluation framework for digital cities implementation. In International Conference on Information Society(i-Society 2012), pages 466–470. IEEE, 2012.
[6] AV Prasad. Exploring the Convergence of Big Data and the Internet of Things. IGI Global,2017.
[7] Akhil Rajendra Khare and Pallavi Shrivasta.Data mining for the internet of things. In Exploring the Convergence of Big Data and the Internet of Things, pages 181–191. IGI Global, 2018.
[8] Peleato B. and Stojanovic M. A mac protocol for ad hoc underwater acoustic sensor networks. In Proceedings of ACM International Workshop Under-Water Networks, pages 113–115, 2006.
[9] Goh Bee Hua. Smart Cities as a solution for reducing urban waste and pollution. IGI Global, 2016.
[10] Petrioli C., Petroccia R., and Stojanovic M. A comparative performance evaluation of mac protocols for underwater sensor networks. In Proceedings of MTS/IEEE OCEANSâAZ08, pages 1–10, 2008.
[11] Muhammad AsadUllah, Muhammad Adnan Khan, Sagheer Abbas, Atifa Athar, Syed Saqib Raza, and Gulzar Ahmad. Blind channel and data estimation using fuzzy logic-empowered opposite learning-based mutant particle swarm optimization. Computational intelligence and neuroscience, 2018, 2018.
[12] Ayesha Atta, Sagheer Abbas, M Adnan Khan, Gulzar Ahmed, and Umer Farooq. An adaptive approach: Smart traffic congestion control system. Journal of King Saud University-Computer and Information Sciences, 2018.
[13] Muhammad Adnan Khan, Sagheer Abbas, Zahid Hasan, and Areej Fatima. Intelligent transportation system (its) for smart-cities using mamdani fuzzy inference system. 2018.
[14] Muhammad Adnan Khan, Muhammad Umair, and Muhammad Aamer Saleem Choudhry. Ga based adaptive receiver for mc-cdma system. Turkish Journal of Electrical Engineering & Computer Sciences, 23(Sup. 1):2267–2277, 2015.
[15] Muhammad Umair, Muhammad Adnan Khan, and Muhammad Aamer Saleem Choudry. Ga backing to stbc based mc-cdma systems. In 2013 4th International Conference on Intelligent Systems, Modelling and Simulation, pages 503–
506. IEEE, 2013.
[16] Daniel Costa, Mario Collotta, Giovanni Pau, and Cristian Duran-Faundez. A fuzzy-based approach for sensing, coding and transmission configuration of visual sensors in smart city applications. Sensors, 17(1):93, 2017.
[17] Harpreet Singh, Madan M Gupta, Thomas Meitzler, Zeng-Guang Hou, Kum Kum Garg, Ashu MG Solo, and Lotfi A Zadeh. Real-life applications of fuzzy logic. Advances in Fuzzy Systems, 2013, 2013.
[18] Suman Sankar Bhunia, Sourav Kumar Dhar, and Nandini Mukherjee. ihealth: A fuzzy approach for provisioning intelligent health-care system in smart city. In 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pages 187–193. IEEE, 2014.
[19] Muhammad Usman, Muhammad Rizwan Asghar, Imran Shafique Ansari, Fabrizio Granelli, and Khalid A Qaraqe. Technologies and solutions for location-based services in smart cities: past, present, and future. IEEE Access, 6:22240–
22248, 2018.
[20] Peter Bosch, Sophie Jongeneel, V Rovers, HM Neumann, M Airaksinen, and A Huovila.
Citykeys indicators for smart city projects and smart cities. CITYkeys report, 2017.