IoT enabled Autonomous Smart Water-meter Networking ya Supervisor: Dr. Othman.M.Othman Students: Yara Alqadah Tharwat A’raj Lama Abu-Zahid ‹#› Index: What is IoT Motivation and Goals Architecture of the smart-Water meter Design of the Autonomous networking of smart-water meter Evaluation Conclusion ‹#› Internet of Things (IoT) The world is moving towards automating things using IoT IoT build a network of connected physical objects that are accessible through the internet. This enables these objects to connect and exchange data ‹#› Motivation and Goals Build a autonomous, self organizing network, connecting smart water meters Use two networks that work in a complete harmony as if they are a one network ‹#› Othman Othman () - Give title Similar projects Many papers were written on this topic: Research on Water Meter Reading System Based on LoRa Communication Drawbacks: LoRa communication has limited network size based on parameter called as duty cycle. A Novel Smart Water-Meter based on IoT and Smartphone App for City Distribution Management . Drawbacks: Focus on the hardware more than the communication between meters. An IoT based 6LoWPAN enabled Experiment for Water Management Drawbacks: 6LoWPAN protocol could not be deployed easily because it requires extensive knowledge of stack and the workability of IPv6. ‹#› [1] proposes a wireless meter reading system by using both the multilevel relay and the concentrator based on LoRa communication. [2] to perform automated water-meter reading for updating the consumption information from field to the database utility for billing and payment. This smart water-meter approach differs from traditional methodologies by using simple IoT hardware in conjunction with smartphone app [3]developed communication in wireless systems for water metering by using ZigBee which provides more accuracy than the traditional analog water meters , but it's much expensive Also, using 6LoWPAN protocol which 6LoWPAN allows the transmission of IPv6 packets over IEEE 802.15.4 links Technology RF technology Low power consumption. Cheap. WiFi technology High availability in homes and large coverage area. Act as a sink to send the data directly to server on the internet. ‹#› Architecture of the smart-Water meter ‹#› ‹#› nRF24l01 ESP8266 Architecture of the smart-Water meter What hardware is needed for project? Radio module ( nRF24L01) : 2.4 - 2.5 GHz ISM band current consumption only 9.0mA range of 100 meters. Wifi module ( ESP8266) : self-contained SOC with integrated TCP/IP protocol stack work on 3-3.6V 366 meters Arduino Uno ‹#› assumption Assume that the power will be supplied to the modules using water generator. Consider number of connected node and wifi availability. ‹#› Node Types Original Node Initial Node: the node that select the initial CH Initial CH: the node that select te CH node and form clusters CH: the main node that collect the data from intermediate node & send it to server. Intermediate node:the node connected directly to CH Secondary CH: node connected with intermediate node. ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› ‹#› Advantages Easy to implement Disadvantages: need to specify k Selection of the initial cluster is random. ‹#› Messages In this protocol there are 4 main messages exchanged: Broadcast Connectivity Cluster head Data ‹#› Node Flowchart: ‹#› Flowchart: Broadcast ID ‹#› Flowchart: Select CH ‹#› Flowchart: Select Secondary CH, collect and Send Data ‹#› Messages Broadcast Connectivity Cluster head Data ‹#› State Machine of node ‹#› Broadcast: Original Node ‹#› 2. Cluster: Original Node ‹#› 3. Initial CH ‹#› 4. Original Node ‹#› Cluster head, Secondary and intermediate node ‹#› Simulator ‹#› ‹#› Evaluation end-to-end delay Our protocol Random ‹#› Delivery ratio Our protocol Random ‹#› Future work Sometimes there will be isolated area that we can't reach We are thinking to solve this problem by using mobile car to collect data Improve the algorithm to select number of clusters by itself ‹#› Conclusion This project was applied by configuring two heterogeneous network The nodes was divided into clusters using k-means algorithm evaluated in terms of delay and delivery ratio and as we saw the results was better for our protocol. ‹#› Thank You ‹#› References [1]Research on Water Meter Reading System Based on LoRa Communication [2] M Suresh, U. Muthukumar and Jacob Chandapillai, “A Novel Smart Water-Meter based on IoT and Smartphone App for City Distribution Management ”, Data Acquisition Systems Laboratory, Centre for Water Management Fluid Control Research Institute. Palakkad, Kerala. 678 623. INDIA. [3]An IoT based 6LoWPAN enabled Experiment for Water Management [4]http://www.teomaragakis.com/hardware/electronics/how-to-connect-an-esp8266-to-an-arduino-uno/ [6]https://www.sparkfun.com/datasheets/Components/nRF24L01_prelim_prod_spec_1_2.pdf [7]https://www.espressif.com/sites/default/files/documentation/0a-esp8266ex_datasheet_en.pdf [8]https://www.farnell.com/datasheets/1682209.pdf ‹#› image18.jpg image13.jpg image2.jpg image3.jpg image4.jpg image1.jpg image6.jpg image10.jpg image5.jpg image7.jpg image11.jpg image8.jpg image9.jpg image17.jpg image21.jpg image14.jpg image12.jpg image15.png image23.jpg image22.jpg image25.jpg image16.jpg image19.jpg image20.jpg image27.png image28.png image24.png image26.png