week 10 Solutions to Water Management using Self-Powered

We describe a Smart City, self-powered, water monitoring solution that uses low-cost water turbines. These can generate up to ∼ 4 W electrical power whilst reporting flow rates at UK domestic water pressure levels. This permits the novel use of stand-alone, remote Apache Spark Streaming as a distributed alternative to the conventional hierarchical Smart Grid. A future Smart City will have innovative features such as high-frequency monitoring of water flows, automated leak detection and shutdown with no requirement for utility electrical power.

week 9 IOE Platform for Developing Smart City Applications

KAA, IOT Ignite, PTC thingworkx, BEZIRK, Bosch IoT suite, Carriots, IoT eclipse.ora, Thingsboard are some of the IoT platform highlighted by the authors. Among them useful for smart city solutions are Bosch, Kaa, Firmware, CISCO, IBM and Cariots. The SNAP4CITY architecture is explained clearly and shows how IoT and smart city works. Simulations are done to check the mobility operator and view the driver to detail how IoT and its sensors work in Smart city applications. AAMA tool is used to monitor the real time data from the IoT sensors in smart city application. The performance are analyzed by monitoring communications bandwidth and number of messages transferred.

week 8 Enabling Mobile and Wireless Technologies for Smart Cities

Home appliances, Education, Healthcare, Transportation, Food industry are some applications of Smart city applications. IoT sensors play vital role to increase the energy efficiency of those IoT based smart city applications. For example, heating, lighting and cooling in home appliances can be automatically controlled and managed by IoT sensors. Lightweight protocols, scheduling optimization, predictive models, cloud based, low power transmitters and receivers, cognitive managing framework are the energy efficient solutions for smart cities. The authors has chosen washing machine, dryer, electric vehicles and dishwasher for demonstrations. The challenges for energy harvesting ins smart cities are receiver design, energy arrival rate, transmitters scheduling, multipath routing etc. A several future works can be done for the efficient energy management in IoT based smart cities.

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