The increase in population, has led to tremendous degradation in the state of affairs of hygiene with respect to waste management system. The spillover of waste in civic areas generates the polluted condition in the neighboring areas. It may aggravate numerous severe diseases for the nearby people. This will humiliate the appraisal of the affected area. For eliminating or mitigating the garbage's and maintains the cleanness, it requires 'smartness based waste management system. This paper is proposed IOT based smart waste clean management system which checks the waste level over the dustbins by using Sensor systems. Once it detected immediately this system altered to concern authorized through GSM/GPRS. For this system used Microcontroller as an interface between the sensor system and GSM/GPRS system. To monitor and integrate an android application is developed for the desired information which is related to the various level of waste in different locations. This is ensued the greenish in the environment and support for swachh bharat for cleanness.

Smart garbage monitoring and clearance system using internet of things

Household Waste Management System Using IoT and Machine Learning

Waste management is one of the primary problem that the world faces irrespective of the case of developed or developing country. The key issue in the waste management is that the garbage bin at public places gets overflowed well in advance before the commencement of the next cleaning process. It in turn leads to various hazards such as bad odor and ugliness to that place which may be the root cause for spread of various diseases. The increase in population, has led to tremendous degradation in the state of affairs of hygiene with respect to waste management system. The spillover of waste in civic areas generates the polluted condition in the neighboring areas. For eliminating or mitigating the garbage’s and maintains the cleanness, it requires smartness based waste management system. The need of proper waste management does not end with just collection and proper dispose of garbage. It continues to the level of landfills and the amount that we can possibly recycle. Recycling is estimated to be highly useful given that our dependency on raw products reduces, besides the reduction of waste and subsequent landfills. Once the recycling is done to sort metals, plastics, and glass articles, the use of biodegradable waste can be extended beyond fertilizers and manure. The metals can be reused and the plastics can be diverted from the landfills, which otherwise leads to choking of the earth. The glass materials can be broken and melted back to form new articles after deep cleaning. This chapter aims to understand the use of machine learning and artificial intelligence in the most potential areas and the ultimate need to completely replace the human interaction.

The Use of Modern Technology in Smart Waste Management and Recycling: Artificial Intelligence and Machine Learning

Proper waste management is one of the major problems for densely populated urban areas. It is getting difficult day by day to lead a healthy, sustainable living in urban areas because of environmental contamination. Due to the lack of proper waste management approach, problems like an overflow of waste occurs that badly harm our environment. Polluted surroundings result in the spread of various kinds of diseases in an epidemic form. For developed and developing countries, waste management is a challenge to long-term development. Proper management of waste is getting tougher because of increasing population, urbanization, and industrialization. In this modern era of technology, we need to apply technology-based solutions to handle large amounts of waste for overpopulated urban areas. We have reviewed several recent research articles related to the smart waste management system, and almost all of them have some major limitations as well as progress. To ensure environmental hygiene and sustainable urban life, we have presented a smart IoT based integrated system consists of an identification system, an automated lid system, a display system, and a communication system. Arduino Uno is used as a microcontroller to synchronize all of the four systems. Sensors are used for identification and measuring the garbage level. The system provides the facility of continuous monitoring of the status of waste inside the garbage bin and shows the percentage filled up on liquid crystal display (LCD). The communication system uses a global system for mobile communications (GSM) module that will inform the corresponding authority to collect the waste when the garbage bin is filled up. The proposed waste management system is much more efficient than any other conventional waste management system as it reduces the use of manpower, avoids spillover of waste, saves time, more economical, and most importantly it is a completely automated system.

Smart garbage management system for a sustainable urban life: An IoT based application

The most famous wireless sensor networks is one of the cheapest and rapidly evolving networks in modern communication. It can be used to sense various substantial and environmental specifications by providing cost-effective sensor devices. The development of these sensor networks is exploited to provide an energy-efficient weighted clustering method to increase the lifespan of the network. We propose a novel energy-efficient method, which utilizes the brainstorm algorithm in order to adopt the ideal cluster head (CH) to reduce energy draining. Furthermore, the effectiveness of the BrainStorm Optimization (BSO) algorithm is enhanced with the incorporation of the modified teacher–learner optimized (MTLBO) algorithm with it. The modified BSO–MTLBO algorithm can be used to attain an improved throughput, network lifetime, and to reduce the energy consumption by nodes and CH, death of sensor nodes, routing overhead. The performance of our proposed work is analyzed with other existing approaches and inferred that our approach performs better than all the other approaches.

/pdf/energy-efficient-cluster-based-routing-protocol-for-wsn-3b8e7oi62v.pdf

Energy-Efficient Cluster-Based Routing Protocol for WSN Based on Hybrid BSO–TLBO Optimization Model

Waste management is one of the primary problem that the world faces irrespective of the case of developed or developing country. The key issue in the waste management is that the garbage bin at public places gets overflowed well in advance before the commencement of the next cleaning process. It in turn leads to various hazards such as bad odor & ugliness to that place which may be the root cause for spread of various diseases. To avoid all such hazardous scenario and maintain public cleanliness and health this work is mounted on a smart garbage system. The main theme of the work is to develop a smart intelligent garbage alert system for a proper garbage management. This paper proposes a smart alert system for garbage clearance by giving an alert signal to the municipal web server for instant cleaning of dustbin with proper verification based on level of garbage filling. This process is aided by the ultrasonic sensor which is interfaced with Arduino UNO to check the level of garbage filled in the dustbin and sends the alert to the municipal web server once if garbage is filled. After cleaning the dustbin, the driver confirms the task of emptying the garbage with the aid of RFID Tag. RFID is a computing technology that is used for verification process and in addition, it also enhances the smart garbage alert system by providing automatic identification of garbage filled in the dustbin and sends the status of clean-up to the server affirming that the work is done. The whole process is upheld by an embedded module integrated with RF ID and IOT Facilitation. The real time status of how waste collection is being done could be monitored and followed up by the municipality authority with the aid of this system. In addition to this the necessary remedial / alternate measures could be adapted. An Android application is developed and linked to a web server to intimate the alerts from the microcontroller to the urban office and to perform the remote monitoring of the cleaning process, done by the workers, thereby reducing the manual process of monitoring and verification. The notifications are sent to the Android application using Wi-Fi module.

IOT based smart garbage alert system using Arduino UNO

The effect of fading and interference effects can be combated with equalizer This paper analyses the performance of MMSE equalizer based receiver for MIMO wireless channel The BER characteristics for the various transmitting and receiving antenna is simulated in mat lab tool box and many advantages and disadvantages the system is described The simulation carried out signal processing lab show that the MMSE equalizer based receiver is a good choice for removing some ISI and minimizes the total noise power The results show that the BER decreases as the m x n antenna configurations is increased General Terms Equalizer, Bit error rate, Signal to noise ratio (eb/N0),transmitting antenna, receiving antenna

https://www.ijcaonline.org/volume16/number7/pxc3872726.pdf

Performance Analysis of M X N Equalizer Based Minimum Mean Square Error (MMSE) Receiver for MIMO Wireless Channel

As the number of urban vehicles grows rapidly with the development of the economy, people are getting more concerned about vehicle theft prevention, which creates broader market prospects for vehicle anti-theft products. Various vehicle anti-theft devices have been jumped up lately, however the result is still disappointing for all kinds of devices have its drawbacks. Domestic and overseas vehicle anti-theft products are technologically classified into three categories: mechanical lock devices, car alarm system, and vehicle tracking/recovery systems, mainly aiming at preventing cars to be broken in and driven away. To address the limitations of existing vehicle tracking/alarming systems, we propose an anti-theft system mainly based on GPS and GSM system, designed and realized by integration of traditional anti-theft alarm, GPS, GSM SMS system and mobile phone android applications. The owner will receive a short message sent by GSM module as soon as the car is stolen, then he can use android mobile phone application to track down the car. Compared with traditional vehicle anti-theft systems which require customers to install software and track the location of the car on computers, our system use android mobile phone as client terminal, offering customers with more immediate, convenient and cheaper service. Additionally, since we use the free Google Map for location, which means that customers simply have to pay for WAP data traffic and SMS costs. Among them, SMS module costs less than ¥5. 00 monthly if the owner has ordered text message packages launched by mobile telecommunication carriers. For further development, manufacturers cooperating with mobile telecom carriers can allow customers to send and pick up messages at very low price.

N. Sathish Kumar

Papers

IOT based smart garbage alert system using Arduino UNO

Performance Analysis of M X N Equalizer Based Minimum Mean Square Error (MMSE) Receiver for MIMO Wireless Channel

Remote Vehicle Tracking System using GSM Modem and Google MAP

Design and implementation of low power and high speed multiplier using quaternary carry look-ahead adder

Energy aware decision stump linear programming boosting node classification based data aggregation in WSN