Wireless Sensor Networks ( Wsn )

Nowadays, Wireless sensor networks (WSNs) are getting more and more involved in our society, researchers and manufacture. As the use of WSNs increases the more challenges rise to make them immune and life longer. Therefore, both fields industry and academia invest money to improve the capability of the security integrity, confidentiality, and authentication. Since WSNs are distributed in unfrequented and abandoned venues, the physical security is unconcerned or less concern. The most concern is the lifetime of Wireless sensor networks, sensors have limited source of power. Thus, economizing energy will keep sensors live longer, the less power means more efficiency. Moreover, secure data is important as well, since no one attends where sensors are located, it is easy to manipulate data or steal it. Cryptography provides high security to WSNs, using algorithms to encrypt and decrypt the sent data is

Sensor nodes have insured wireless communication limited node capabilities. There are lots of challenges put into the sensor network. As discussed earlier WSN is definitely an infrastructure less network, therefore it communicates on the wireless network. The key challenge in WSN is the power supplied to the sensor nodes. Usually the power supplied to the sensor nodes is nonrenewable [12]. Some protocols are utilized in WSN, they are accustomed to maximize the lifetime of the network by the effective management of the power resources. The key issues are explained

Unlike traditional WLANs, the physical security of nodes in a wireless sensor network cannot necessarily be assured. This is an important consideration to take into account when designing security for the sensor network. Another beneficial feature of the sensor network is the inexpensiveness of the individual nodes. Individual sensors are designed to be cheap, inexpensive, and easily replaceable. This presents a security challenge where it is needed to provide enough security on sensor network in an economical manner. Lastly, because sensors are inexpensive, small, and consume very little power, their computational ability is extreme limited which makes cryptography application difficult.

Wireless Ad hoc Network are important emerging technology that is low cost, most effective. Although a large amount of research has been done on mobile Ad hoc Network technology, yet truly understanding these networks has been low and the implementation of these networks is very less. This is because in some areas it is difficult to implement wireless networks as it is an expensive process and implementing new algorithm and new protocols is difficult replacing all the protocols that are currently used. Although the important fact is that these networks are not used to its full capacity. Large amount of research is going on the Ad hoc networks and exploit these networks in far more better way. Ad hoc network technology has many future applications. It can be used widely used for military application, can be used for UAV's , for detecting of the chemicals and materials underground.

Fig.2. shows the overall architecture of the proposed work. In wireless sensor networks, the sensor nodes are densely deployed in the

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.

Wireless Sensor Network (WSN) consists of a large number of low cost sensor nodes depolyed in parking area. These sensor nodes form a multi-hop ad-hoc network by wireless commnunication.

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.

Wireless sensor network (WSN) is a group of sensor nodes able to sense, measure and, gather information from the surroundings, and transmit and receive data from the user. These sensor nodes are equipped with sensors, a processor, memory, power supply, and a radio or a RF module. The sensing part of the sensor node determines the application where it will be

In the previous section, we mainly focus on the connectivity and related survivability issues of WSNs. It is the foundation that we deploy WSNs to achieve its main objective which is to monitor the field of interest / detect desired data and it is coverage that determines whether the field of interest is under strict surveillance or not. So, in this section, we will summarize the related work on integrated connectivity and coverage problem in WSN. In [68], [69], it’s clear that connectivity only requires that the location of any active node be within the communication range of one or more active nodes such that all active nodes can form a connected communication backbone, while coverage requires all locations in the coverage region be

We consider a WSN in which the sensor nodes have both sensing ability and short distance wireless communication ability. The objective of the deployment of the WSN is to keep the FoI under strict surveillance/collect data and then forward the obtained information to a designated gateway/data sink. Hence, coverage and connectivity are the

Investigate distributed sensor networks for sensing environment parameters and integrate the proposed sensor network with energy harvesting systems.

Abstract— The ultimate aim of a wireless sensor network is to provide accurate and reliable information regarding the environment in which the sensors are deployed. Among the various applications of a sensor network, target tracking is the one of the key application of WSNs. In existing system To design a Face Track for detecting the movement of a target in polygon. Develop a brink detection algorithm used to reconstruct another conceptual polygon. Optimal node selection algorithm to select which sensor of spatial region to track data. All wireless sensors are activated and idle listening is a major source of energy waste. Once an active sensor runs out of energy, that sensors are not present in the network. So communication is not fully completed. We enhance the proposed algorithm Probability-Based Prediction and Sleep Scheduling (PPSS) to overcome this problem also it improve the power efficiency and increase the network life time.

The wireless sensor networks mainly comprise stationary and mobile sensors that are deployed randomly inside the network and they collect data from the surroundings via wireless communication links [7, 8].

A Wireless Sensor Network (WSN) is comprised of multiple tiny devices called nodes or motes. These are distributed spatially in an environment to monitor sense and compute data wirelessly. The role of a sensor node is to evaluate different tasks. First, a node has to sense physical conditions and exchange the information with other nodes after computation. Second, it plays the important role of being a relay for different sensor nodes [1],[2],[3],[4]. These nodes can mount anywhere in the environment [2]. With recent advancements in the field of electronics these devices are becoming cheaper and smaller and are being employed in both indoor and outdoor environments. Applications include agricultural monitoring, household and military surveillance, industrial automation and robotics, and healthcare [3]. A sensor node, shown in Figure.1 is a low power device and consists of five different components namely [5], [12]