Therefore, this project proposes a wirelesswaterpollutionmonitoringsystem to address the stated problem. These monitoring devices will detect a waterpollution at the river with a few sensors. The PH sensor is used to detects and determine the quality of the water base on the quality index of classification that determine the water are clean or polluted. Other than that, turbidity sensor will be used to measure the suspended particles in a fluid. The sensor also measures the turbidity of fresh water on the river. The other sensor is flow sensor which is to measure the current flow of the water. Arduino devices is an electronic platform that are able to read inputs such as electronic devices and turn it to output. All of those sensors will be connected to Arduino to generate input that are collected from the sensor. The wirelesspollutionmonitoringsystem will be used GSM to pass the information gather from the sensor and those data retrieve will be display on a website. The user can view the current situation and condition of the water plus the system will alert the user about what action need to take if the water is polluted.
Tank Water Level Monitoring, is used to avoid overflowing and intimate level of water in the tank. Water controlling system implementation makes potential significance in home applications. The existing automated method of level detection is described and that can be used to make a device on/off. Moreover, the common method of level control for home appliance is simply to start the feed pump at a low level and allow it to run until a higher water level is reached in the water tank. This is not properly supported for adequate controlling system. Besides this, liquid level control systems are widely used for monitoring of liquid levels, reservoirs, silos, and dams etc.
In this system, recent technological developments in the miniaturization of electronics and wireless communication technology have led to the emergence of Environmental Sensor Networks (ESN). These will greatly enhance monitoring of the natural environment and in some cases open up new techniques for taking measurements or allow previously impossible deployments of sensors. WAPMS is an example of such ESN. WAPMS will be very beneficial for monitoring different high risk regions of the country. It will provide real-time information about the level of air pollution in these regions, as well as provide alerts in cases of drastic change in quality of air. This information can then be used by the authorities to take prompt actions such as evacuating people or sending emergency response team. WAPMS uses an Air Quality Index to categories the various levels of air pollution. It also associates meaningful and very intuitive colors to the different categories, thus the state of air pollution can be communicated to the user very easily. The major motivation behind our study and the development of the system is to help the government to devise an indexing system to categories air pollution in Mauritius. The system also uses the AQI to evaluate the level of health concern for a specific area. WAPMS uses a novel technique to do data aggregation in order to tackle the challenge of power consumption minimization in WSN. This highly reduces the amount of data to be transmitted to the sink, thus reducing the transmission energy required and at the same time representing the original values accurately.. The collected readings are saved in a database and these can be accessed individually in a table or summarized area wise in a line graph.
A sensor unit is basically consists of several sensors used to detect the predetermined para meters that indicate the quality of water. In this work, three types of sensor; pH sensor that senses the acidity of basicity of the water, temperature sensor and turbidity sensor based on phototransistor are used. All the sensors use battery for its operation. The info rmation be ing sensed by the sensors are then converted into electrical signal and go through the signal conditioning circu it that functions to make sure the voltage or current produced by the sensors is proportional to the actual values of para mete rs being sensed. Then it is passed to a microcontrolle r or microprocessor that processes it to the value understandable by human.
Water controlling system implementation makes potential significance in home applications. The existing automated method of level detection is described and that can be used to make a device on/off. Moreover, the common method of level control for home appliance is simply to start the feed pump at a low level and allow it to run until a higher water level is reached in the water tank. This is not properly supported for adequate controlling system. Besides this, liquid level control systems are widely used for monitoring of liquid levels, reservoirs, silos, and dams etc.
As a result of the surge in water contaminants, water consumed from either the water polluted by natural pro- cesses or man-made activities is dangerous to humans and the ecosystem, because of their high levels of heavy metals and microbes. The microbes and heavy metals cause havoc to human health. Examples of some of the disruptions they cause are diarrhea, epigastric pain, organ damage such as renal and hepatic failure, and can- cer [11, 12]. For example, around 1,500,000 children die due to diarrhea every year . Heavy metals are highly toxic and also create a lot of environmental concerns [2, 14–16]. To address these issues, there is an urgent need for effective systems for frequently monitoringwater quality parameters. To achieve this, the adoption of wireless sensor networks (WSNs) technology has been proposed as a promising solution. Unfortunately, WSNs are faced with several challenges that range from energy, memory, and processing capability. As a result of these limitations, both academia and industry are currently making efforts toward seeking solutions to the afore- mentioned problems. Among the issues raised in WSNs, the energy scarcity problem is the greatest of all, as the
As per explained above, Collecting accurate actual noise pollution data relying on the current measurement procedures is costly and cumbersome and does not scale with the demand for higher data granularity. Collecting fine-grained noise measurements through the manual collection clearly inefficient and expensive. In this paper report the design and implementation of a protocol suite for a WSN application which measures the instantaneous environmental acoustic noise in a given area. Noise monitoring is a fundamental requirement for improving the efficiency of the signal. VII. REFERENCES
The main objective of this project is to develop a simple low cost air pollutionmonitoringsystem based on microcontroller using wireless technology which detects presence of various gases and parameters like humidity, temperature, etc. and displays it on LCD and forwards it to remote user. This project is developed by using LPC2148 Microcontroller, SIM 900 GSM Module, 16X2 LCD display and gas, humidity and temperature sensors. The advantage of using GSM based technology is that GSM based communication network is distributed over a large area and have almost reached to every part of the world. GSM technology also does provide users with high quality signal and channels, giving them access to high quality digital communication at affordable cost. This embedded system can be useful for anyone who wish to monitor the quality of air at a location without being physically present there .The main advantages of the research are that the system may be able to collect the pollution levels throughout the day and also the data so collected may serve as a data base which can be used for various analysis as and when required .The system may offer pollutant levels of a particular industry and this estimation may serve as an ready reckoner to the government for allowing or disallowing a particular industry to be set up in a particular area.
friendly and easy to use. This is made possible by the use of concept of IOT which refers to accessing the devices through internet .Also Node MCU is used to make the model compact and easy to built with less complexity which increases the ease of handling the devices, the advantages of node mcu over ardiuno is discussed in paper later. So a solution for monitoring the noise and CO levels i.e., any parameter value crossing its threshold value ranges, for example CO levels in air in a particular area exceeding the normal levels etc., in the environment using wireless embedded computing system is proposed in this paper.
Air pollution is an essential environmental issue due to the tremendous impacts on public health, global environment, and worldwide economy. Urban air pollution with non-uniform distribution trend arises the necessity for pollutionmonitoring with high spatio-temporal resolution, which the conventional air pollutionmonitoring systems cannot provide because of the limited data availability and non-scalability of the systems. By utilizing the advance sensing technologies, MicroElectroMechanical Systems (MEMS) and Wireless Sensor Network (WSN), researchers are pushing the concept of The Next Generation Air PollutionMonitoringSystem (TNGAPMS) to the limit and have achieved great progresses. Many of state-of-the-art air pollutionmonitoring systems have been implemented and tested. All of these systems evidence that an air pollutionmonitoringsystem with high spatio-temporal resolution, cost and energy efficiency, deployment and maintenance feasibility, convenient accessing ability for the public or professional users are achievable. However, from Sections 4 and 5 , we can conclude that there are still some issues or challenges of these existing systems that need to be addressed. Also there are some abilities or characteristics of these existing systems that we want to carry forward or enhance when building the future systems.
Peat water treatment with an automatic control system provides several advantages: first, the system is able to control the dose required to obtain the decomposition of organic compounds and inorganic exist in peat water quality standard can be eliminated according to the peat material types one and two so that it can make peat water into clean water that is unfit for use. Second, the system is able to provide the data used in the water supply plant. Third, the system can control and record data good contact time required in the optimization of water treatment systems peat. Fourth, process automation has the ability to perform repetitive calculations and save the results in a database format that is useful for surveillance. This technique is proven has ability to reduce time and effort in operating of peat water treatment system and makes it safe and reliable-effective technology.
A final conclusion is made that a brief survey of the future directions can widely affect the tolerance research in wireless sensor networks.  This paper gives an analysis that defines the fault tolerance and the various terms related to it. Various aspects of data constraints such as redundancy and touched-upon fault tolerance has been explored and explained that are used in Wireless Sensor networks. Some of the techniques that has been covered in this paper are redundancy in hardware, NMR and N-version programming software. 
In this paper, we present a Performance assessment of important three routing protocols for underwater acoustic wireless sensor networks. We have carried assessment by using Aqua-Sim simulators and found it achieves most of the protocols parameters. We packet Delivery Ratio, average end-to-end delay and total energy consumption as our performance evaluation parameters. Our conclusions are, if the number of pollutants is 50 or less, the VBF protocol is the most appropriate protocol than the rest For it was
ABSTRACT: In this paper air pollutionmonitoringsystem is proposed. This system can be used for monitoring pollutants in the air of particular area. The proposed system is consisting of two parts1. First part will focus on the monitoring of air pollutants concentration with the help wireless sensor networks (WSN) 2. Second part will deals with interfacing of WSNwithInternet.Monitoring part of the system will be discussed here. Air pollutionmonitoringsystem consists of various sensors that are used to detect the concentration of pollutants in the air i.e.MQ-4 for Methane, MQ-7 for Carbon Monoxide (CO), MQ-135 for Carbon Dioxide(CO2) and DS18B20 for Temperature measurement. The detected concentration of pollutants will be displayed on LCD screen on the system. This collected information will be directly sent to the internet from system.
As we know the industrial growth drastically increasing, environmental pollution related issues rapidly comes into existence . To fulfil the need of flourishing monitoringsystem, in our project we are establishing a network called Internet of Things, in which sensing devices are connected with wireless embedded computing system. Internet of Things is a technology that hook up the sensors with embedded system and allow the data from these sensors to travel over an Internet. We are implementing developing model which is able to monitors the inconstancy of parameter like Air, Noise, Temperature, Humidity and Light.
online monitoring (automatic) technique. The Passive sampling uses simple equipment but it does not provide the real time values. The procedure of continuous online monitoring uses sensors to monitor the parameters, and then send to control center by network. Here we have used continuous online method so as to get the real time values of concentration of pollutants. Also we have decided to use PIC microcontroller which is having in built ADC, thus it reduces extra circuitry of ADC for signal conditioning. As we have decided to use electrochemical sensors the overall system will be energy efficient and low cost in terms of sensors. System measures the concentration of gases such as CO, SO2, and NO2 using electrochemical sensor.
A wireless sensor network (WSN) refers to spatially scattered and devoted sensors which are controlled by a microcontroller with a transceiver and a power supply to observer a physical condition. WSN could be used to monitor the air pollution in real-time with low power consumption.The data provided by WSN can be used to control air pollution and take preventive actions. So WSN provides less complex monitoring as compared to traditional monitoringsystem .
Kay Smarsly et al.  explained that water shortage is a global problem that has severe implications on economic growth and societal well-being, even in the most developed countries. As more than two-thirds of freshwater consumed worldwide are used for irrigation, large quantities of freshwater can be saved by improving the efficiency of irrigation systems. Automatically scheduling irrigation events based on soil moisture measurements is an effective means to reduce freshwater consumption and irrigation costs. This paper presents the design, the implementation, and the validation of an integrated soil moisture monitoringsystem, which is part of an ongoing research on intelligent irrigation control. The monitoringsystem consists of a number of wireless sensor nodes that are connected to an Internet-enabled computer system. Autonomous software in the form of self-contained interacting software entities is embedded into the wireless sensor nodes. The autonomous software is designed to precisely trigger irrigation events based on decentralized real-time diagnoses of actual site conditions and external weather information.
This paper explains development of an integrated pollutionmonitoring (IPOM) system to monitor the concentration of air pollution using gas sensor and Meshlium gateway. We analyze the data received from sensor nodes to server receiver can be converted by Meshlium using its sensor parser. We can join our local area network and our wireless sensor network. By joining our network, we can use a server computer to manage the data sent by sensor nodes. Meshlium also has synchronization system to synchronize its local database and our external database in server computer. The experiment results show that the sensed data from environment can be displayed through wireless sensor network in desktop application and website to monitor the environment condition from distant. For the future work, we will add more meshlium gateway and sensor node to increase the coverage area, and use WiFi/3G/GPRS to increase scale of pollutionmonitoringsystem.
In this system, it proposed a wireless sensor network air pollutionmonitoringsystem (WAPMS) for Mauritius. Indeed, with the increasing number of vehicles on our roads and rapid urbanization air pollution has considerably increased in the last decades in Mauritius. For the Past thirty years the economic development of Mauritius has been based on industrial activities and the tourism industry. Hence, there has been the growth of industries and infrastructure Works over the island. Industrial combustion processes and stone crushing plants had contributed to the deterioration of the quality of the air.