Wireless Sensor Networks : An Pest Management System

This paper is also proposed a frame work for the simulation of the wireless sensor networks and the applications of WSN are that proposed an algorithm. The applications of wireless sensor networks is spreading rapidly form the last ten years in many areas like mostly in the areas called militaries, defence, large buildings, industries, and in many commercial buildings. Due to the advancement in wireless sensor networks the sensors with low power and the modules equipped with radio devices is now replaced with the wired sensors. These small modules (tiny) can be known as motes will collect all the information from the environment by using the motes and is also working like neurons.

Ans: Wireless Sensor Network is a system with collection of sensors formulated with irregular patterns in remote areas with limited number of hardware resources.

Abstract— Wireless Sensor Network broadly used for observing the environmental constraint. An automated irrigation system is developed to improve water use for agriculture yields. Energy conservation is a very critical issue in wireless sensor networks. For monitoring the energy consumption MAC protocols plays a very major role. With the help sensors and simple circuitry this work purposes low-cost product, which can be bought even by a poor farmer. The structure has a dispersed sensor nodes (SN) comprising of soil moisture, humidity and temperature sensors located in the soil and base station (BS). BS will gather data from SN. If the collected data in the BS is less than threshold value then BS will perform a needed action for irrigation. In this project, a TDMA based algorithm and single hop wireless communication are used to provide better energy efficiency. Network Simulator-3 (NS-3) has been used for the exploration of the algorithm.

With the recent technological advancements in smaller sensor devices with ubiquitous sensing and monitoring capabilities, Wireless Sensor Networks (WSN) are evolving as one of the most significant technologies of 21st century (Ruiz-Garcia, Lunadei, Barreiro, & Robla, 2009). Though wired networks provide more stable and reliable communication, wireless networking does provide more advantages with connectivity without being tethered. WSN with dense wireless networks of small, low cost sensors for collecting and disseminating environment data has facilitated connecting, monitoring and controlling of physical environments and environmental conditions such as temperature, humidity, pressure from remote locations with better accuracy which are not possible with wired networks (Potnis & Rajeshwari, 2015). Moreover, with the unique characteristics of flexibility, energy efficiency, distributed intelligence, low cost and most importantly with very good sensing and monitoring capabilities, WSNs are serving wide range of applications in various fields including remote environmental monitoring, home security, industry applications, military purposes such as target tracking by preparing and providing a ubiquitous computing environment (Ruiz-Garcia et al., 2009).

processing. Sensor nodes are of very small size, consume extremely low energy, are operated in high

Wireless sensor nodes consists of three pars first one is wireless means without wires second one is sensor mean our nodes or data sensing process third and last one is networks means connection of these nodes to form a network to communicate and report data. When we concern its quality of service it may become too wide part of research so we are promised to work only in energy efficient protocols. The reason behind wireless

A Wireless Sensor Network can be composed of large number of tiny of sensor nodes spread in a wide area and communicating with each other either directly or through routing mechanisms to the other nodes. One or more of the nodes are the base station with uninterrupted battery source than the other nodes. Since the devices in WSN are often tiny devices with small form factor the computational power of these devices is usually small because there will not support large amount of hardware. Furthermore as the devices are wireless they need to obtain their energy from an inbuilt battery which in the end needs to be recharged or replaced. If the battery of a device is depleted it needs an immediate substitution to function further .

Monitoring physical parameters such as temperature, pressure, humidity, etc. of process plant is important to continuously know the health of plant. Presently the various process parameters are monitored using conventional smart transmitters, transducers, etc. They need wiring, which not only increases cost of transfer of signal but also their reliability decreases due to physical interconnections, attenuation to the signal and general system becomes complex. Even in the presently available wireless system, they are either available for small range or are high power consuming if available for longer ranges and are very expensive. In order to overcome these problems, the author has suggested a distributed wireless environment to monitor the parameters of interest and send SMS alert to the operator in case of any predefined abnormality. The author has attempted to design and implement open architecture low cost medium range

Wireless Sensor Networks are formed by autonomous nodes containing partial memory, better range of communication, power and capable bandwidth. WSN are used to inspect the corporal and environmental conditions through a system and perform data processing. However, during data acquisition different types of issues and circumstances are to be resolved.

In sensor network node deployment falls into two classifications either a dense deployment or a meager deployment. In dense deployment in the focused on field, high quantities of sensor nodes are available. While in an inadequate deployment we have lesser nodes. Dense deployment is utilized to distinguish multiple sensors. At the point when expense of item expands it can be utilized there.

Wireless Sensor Networks (WSN) consists of large number of sensor nodes distributed across a geographical area in highly dense manner. These nodes are of low cost and use less energy to perform various functions. These sensors have the ability to communicate with each other and route the data to next node or back to the Base Station (BS). Sensor nodes in a sensor network communicate with other nodes and collect the information.

Abstract: Wireless sensor networks (WSN) have grabbed much attention in recent years due to their potential use in many applications. One such application is deploying WSN in underground mines to monitor the miner 's physical signals as well as the environment they are exposed to. However, due to the resource constraints of sensor nodes and the adhoc-formation of the network, in addition with an unattended deployment, pose un-conventional demands provoke the need for special techniques for design and management of WSN. Because of the restrictions caused by the lossy dielectric walls and ceilings in the underground mines, the radio signal propagation characteristics are significantly different from those of terrestrial wireless channels. In this paper, underground WSN is designed considering worker’s safety in under-ground, increased energy efficiency and productivity as main goals.

A mobile wireless sensor network, shortly WMSN, can be defined as a wireless network of a sensor nodes that are mobile. Motivation behind a mobile wireless sensor network is to capture real world data and convert them so it can be transferred, processed, stored and later studied or analyzed (Guo, 2014). The MWSN is usually a combination of two or more technologies such as mobility, wireless connectivity and the ability to gather local information. The mobile wireless sensor network is usually deployment of a large number of small, inexpensive, self-powered nodes and receiving station (Kumbhare, Rangaree, & Asutkar, 2016). These MWSN can be effectively used for civil and military purposes.

ABSTRACT: The Power of wireless sensor network technology has provided the capability of developing large scale systems for real time monitoring. The recent years, people were unknown for all kind of natural disaster and calamities. Natural calamities like Earthmovers (earthquake), Heavy rainfall, Flood, Tsunami. This paper describes the evolution of a wireless sensor network system for landslide detection in the particular area. The development of a wireless sensor network (WSN) to detect landslides, which includes design and development of WSN for real time monitoring system. If movements of rocks or soil are observed, the collected data sets are automatically transmitted to a connected server system for further diagnoses. The landslide monitoring system presented in this paper is RF transceiver and provides real-time information about the current state of the monitored slope. Laboratory tests have been conducted to

Abstract— An automated irrigation system is developed to optimize water use for agriculture crops. The system has a distributed wireless sensor node network of soil moisture, temperature sensors and humidity sensor placed in the soil. Energy conservation is a very critical issue in wireless sensor networks. In this paper a TDMA based MAC protocols are used to conserve the energy in wireless sensor networks which is used in an irrigation system. An algorithm is developed with threshold values of moisture level, temperature of the soil and humidity sensor that are programmed into microcontroller based gateway to control irrigation in a field. Also two methods based on TDMA scheduling are used. The first one is direct communication method, in which each node transmitted the data directly to the sink node and other one is data aggregation method in which nodes are grouped into clusters to save energy.