According to Centenaro et al. (2016), connectivity is a very genuine and significant aspect of a smart city. The writer of this paper have structured this resource is such a way that it helping us in evaluating the IOT enabled technologies which are integrated in the smart cities like the short range communication technologies. The drawback of this paper is that it is written in a generalized format.
According to Strohbach et al. (2015), the application of the machine learning algorithms in the smart cities is a very important issue regarding the IoT enabled technologies. The prime limitations of this paper are that it is written in a more generalized way. However, the paper helps us in mitigating the risks associated with the technologies.
According to Anagnostopoulos et al. (2015), the environmental aspects of the internet of things in smart cities are described in a professional way in this paper. The paper revolves around the achievement of the dynamic wastage collection technologies which contributes effectively to the smart city ideologies. The main limitations of this paper is that it do not discusses the dynamic model scheduling which could have been used by the future generations.
According to Arasteh et al. (2016), the digital technologies used in the smart cities are entirely based on the internet of things. But the drawback of this paper is that the paper is written entirely in a generalized format rather than focusing on a specific technology. The paper gives wide knowledge of the overall use of IoT in smart cities.
According to Gaur et al. (2015), the application of the wireless sensory networks is increasing in the smart cities. The main advantage of this resource is that is focused on the protection of essential data which is considered as an asset these days in smart cities. The limitations of this paper are that challenges which the organization faces in protecting those vital data are not written in this paper.
As discussed by Bryant et al. (2017), the application of the IoT enabled technology in the daily activities of the citizens of the smart is discussed in this paper. The paper focuses on the resilience and sustainability. The prime advantage of this resource is that it gives an in-depth knowledge about the approaches on how to make use of the IoT enabled devices in a professional way. The main limitation of the paper is that it do not consider the ethical issues of the technologies.
As discussed by Jin et al (2014), the internet of things is related to the ICT industry for the purpose of providing different types of IT products to the citizens of the smart cities. The prime feature of this paper is that it gives a lot of information related to the different types of IT products but the limitation of the paper is that it do not focus on the challenges related to the development of those products.
As discussed by Memos et al. (2018), the principals of the smart systems should be highly considered while the applications are used for different purposes. The paper provides sufficient information about the protocols which are generally followed by the smart systems of the smart cities. The drawback of this paper is that it do not focuses on the privacy and security issues of those smart systems.
As discussed by Toenjes, Kuemper & Fischer (2015), analysis of the smart city data is a very important issue for knowing the effectiveness of the smart system which are dedicatedly used for maintaining the data security in smart cities. The limitation of the paper is that it focuses only on the enhancing the accuracy of those dedicated systems rather than identifying the reasons behind the cause of the issues.
According to Khanna & Anand (2016), the evolution of the internet of things in smart cities are described in this resource. The main feature of this paper it that it emphases on the use of IoT in enhancing the efficiency and productivity of the urban infrastructure. The paper is focused on the smart parking facilities and cloud computing and the related technologies which are associated with IoT in smart cities.
Annotated Bibliography
Ali, M. I., Gao, F., & Mileo, A. (2015, October). Citybench: A configurable benchmark to evaluate rsp engines using smart city datasets. In International Semantic Web Conference (pp. 374-389). Springer, Cham.
The resource helps in understanding the application of the different types of engines in the smart cities such as the RSP engines. The application of the data sets are also mentioned in this paper. The advantages and the limitations of these engines are also stated in this paper with prime importance.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of things for smart cities. IEEE Internet of Things journal, 1(1), 22-32.
This resource helps the readers of this document to have an idea about the application of the different types of internet of things in the smart cities. The connectivity issues and the other challenges of the IOT based technologies are also mentioned in the paper.
Tönjes, R., Barnaghi, P., Ali, M., Mileo, A., Hauswirth, M., Ganz, F., … & Puiu, D. (2014, June). Real time iot stream processing and large-scale data analytics for smart city applications. In poster session, European Conference on Networks and Communications. sn.
The resource helps in understanding the real time application of the internet of things in the smart cities. The application of the large scake analytics for the smart city applications are also provided in a structured way in this resource.
Navghane, S. S., Killedar, M. S., & Rohokale, D. V. (2016). IoT based smart garbage and waste collection bin. Int. J. Adv. Res. Electron. Commun. Eng, 5(5), 1576-1578.
The resource helps in the having a perception about the different types of collection of wastes technologies in the smart cities. The benefits and the limitations of these technologies are also mentioned in the paper.
Hefnawy, A., Bouras, A., & Cherifi, C. (2016, March). Iot for smart city services: Lifecycle approach. In Proceedings of the International Conference on Internet of things and Cloud Computing (p. 55). ACM.
The resource provides in depth knowledge about the internet of things in smart cities. The life cycle approaches are mentioned in a well-defined structured way in this resource. The integration of the different types of cloud computing technologies with the latest applications of the internet of things are mentioned in this paper with the advantages and limitations associated with them.
Requirements of the project
The different requirements related to the application of IoT in business intelligence are:
Problem Solving
All the issues and challenges related to the use of internet of things in smart cities can be solved purposefully with the help of effective strategic planning before the incorporation of the technology. All the past techniques used for solving the problem should be examined by the organisation so that its effectiveness can be identified.
Current and past techniques to solve the problem
The application of the conventional legacy systems is very much ineffective these days as the needs and requirements of the users of the IoT enabled systems to keep on changing.
Reference
Ali, M. I., Gao, F., & Mileo, A. (2015, October). Citybench: A configurable benchmark to evaluate rsp engines using smart city datasets. In International Semantic Web Conference (pp. 374-389). Springer, Cham.
Anagnostopoulos, T., Zaslavsy, A., Medvedev, A., & Khoruzhnicov, S. (2015, June). Top–k Query Based Dynamic Scheduling for IoT-enabled Smart City Waste Collection. In Mobile Data Management (MDM), 2015 16th IEEE International Conference on (Vol. 2, pp. 50-55). IEEE.
Arasteh, H., Hosseinnezhad, V., Loia, V., Tommasetti, A., Troisi, O., Shafie-Khah, M., & Siano, P. (2016, June). Iot-based smart cities: a survey. In Environment and Electrical Engineering (EEEIC), 2016 IEEE 16th International Conference on (pp. 1-6). IEEE.
Bryant, N., Spencer, N., King, A., Crooks, P., Deakin, J., & Young, S. (2017, September). IoT and smart city services to support independence and wellbeing of older people. In Software, Telecommunications and Computer Networks (SoftCOM), 2017 25th International Conference on (pp. 1-6). IEEE.
Centenaro, M., Vangelista, L., Zanella, A., & Zorzi, M. (2016). Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios. IEEE Wireless Communications, 23(5), 60-67.
Gaur, A., Scotney, B., Parr, G., & McClean, S. (2015). Smart city architecture and its applications based on IoT. Procedia computer science, 52, 1089-1094.
Hefnawy, A., Bouras, A., & Cherifi, C. (2016, March). Iot for smart city services: Lifecycle approach. In Proceedings of the International Conference on Internet of things and Cloud Computing (p. 55). ACM.
Jin, J., Gubbi, J., Marusic, S., & Palaniswami, M. (2014). An information framework for creating a smart city through internet of things. IEEE Internet of Things journal, 1(2), 112-121.
Khanna, A., & Anand, R. (2016, January). IoT based smart parking system. In Internet of Things and Applications (IOTA), International Conference on (pp. 266-270). IEEE.
Memos, V. A., Psannis, K. E., Ishibashi, Y., Kim, B. G., & Gupta, B. B. (2018). An efficient algorithm for media-based surveillance system (EAMSuS) in IoT smart city framework. Future Generation Computer Systems, 83, 619-628.
Navghane, S. S., Killedar, M. S., & Rohokale, D. V. (2016). IoT based smart garbage and waste collection bin. Int. J. Adv. Res. Electron. Commun. Eng, 5(5), 1576-1578.
Strohbach, M., Ziekow, H., Gazis, V., & Akiva, N. (2015). Towards a big data analytics framework for IoT and smart city applications. In Modeling and processing for next-generation big-data technologies (pp. 257-282). Springer, Cham.
Toenjes, R., Kuemper, D., & Fischer, M. (2015, December). Knowledge-based spatial reasoning for iot-enabled smart city applications. In Data Science and Data Intensive Systems (DSDIS), 2015 IEEE International Conference on (pp. 736-737). IEEE.
Tönjes, R., Barnaghi, P., Ali, M., Mileo, A., Hauswirth, M., Ganz, F., … & Puiu, D. (2014, June). Real time iot stream processing and large-scale data analytics for smart city applications. In poster session, European Conference on Networks and Communications. sn.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of things for smart cities. IEEE Internet of Things journal, 1(1), 22-32.
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