The Movement Of Target Wireless Sensor Networks

A WSN is a type of wireless networks that consists of collection sensor nodes which are tiny devices. Each sensor node of the network has different processing capability. It may contain multiple types of memory (program, data and flash memories), have a RF transceiver, have a power source (e.g., batteries and solar cells), and accommodate various sensors and actuators. The nodes communicate wirelessly and often self-organize after being deployed in an ad hoc fashion [13, 14]. Optimum need of each sensor node is to maximize its own utility function. Also the whole network requires resource assignments balance to perform in a useful and efficient way. This chapter presents a brief survey on WSNs showing its types, characterizing features, protocols and applications.

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

Wireless sensor nodes[2] have limited resources such as limited memory and limited power. There is unreliable communication in wireless sensor network that leads to threat to sensor security. The security of network depend on communication which relies on protocol.

Abstract. Wireless Sensor Networks (WSNs) have been attracting increasing interest for supporting a new generation of ubiquitous computing systems with great potential for many applications such as surveillance, environmental monitoring, health care monitoring or home automation. However, the communication paradigms in WSNs differ from the ones associated to traditional wireless networks, triggering the need for new

There have been significant contributions to overcome many weaknesses in sensor networks like coverage problems, lack in power and making best use of limited network bandwidth, however; work in sensor network security is still in its infancy stage. This paper is an effort to introduce the

Abstract—Hierarchical routing is a promising approach for point-to point routing with very small routing state. While there are many theoretical analyses and high-level simulations demonstrating its benefits, there has been little work to evaluate it in a realistic wireless sensor network setting. Based on numerous proposed hierarchical routing infrastructures, we surveyed some hierarchical clustering algorithms and briefly discussed them. Main purpose of this paper is to present some recent hierarchical protocols and point out silent features of them. These routing protocols very much benefit in prolonging network lifetime and save energy of sensor nodes.

With the recent technological advancements of smaller sensor devices enabling ubiquitous sensing capabilities and driven by the adoption of global standard technologies, 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, sensor networks with dense wireless networks of small, low cost sensors collecting and disseminating environment data has facilitated monitoring and controlling of physical environments from remote locations with better accuracy. Moreover, with the unique characteristics of flexibility, energy efficiency, distributed intelligence, low cost and most importantly with very good monitoring capabilities Wireless sensor networks serve wide range of applications in various fields such as remote environmental monitoring, home security, industry applications, military purposes such as target tracking along with preparing a ubiquitous computing environment (Ruiz-Garcia et al., 2009).

Wireless sensor network (WSN) is an infrastructure less, dynamic topology, application oriented, multihoping network design with small, sensing wireless distributed nodes. [1] WSN consists of thousand of wireless node distributed in a geographical area. The distributed nodes senses the current status of its region and supply to the next upper which collects different information from different nodes and supplied final information to the

Machine learning inspires many practical solutions that maximize many resource utilization and prolong the lifespan of a network. As wireless sensors network (WSNs) monitor dynamic environment that rapidly changes over time such behavior is either caused by the external factor or by initiated by the system designers. A comparative guide is provided to aid WSN designers to develop suitable machine learning solutions for appropriate application challenges. The security properties of sensors must be known before deploying the intelligent systems on critical infrastructure. This paper provides some steps for generating a comprehensive security model for sensors network as sensors network is not a traditional computing device hence existing security models are not applicable.

The clustering protocols aim is to minimize the energy consumption for each node and to maximize the network lifetime of wireless sensor networks. In wireless sensor networks the node are densely deployed and it consumes large energy, it acquires from cluster formation overhead and fixed level clustering. The proposing method is Power Efficient and Adaptive Clustering Hierarchy Protocol (PEACH) for wireless sensor networks. In PEACH, when the anticipation of the node reaching highest energy to become a Cluster Head, legitimacy in power consumption can be improved. PEACH supports adaptive multilevel clustering and the cluster structure forms without additional overhead. The simulation result analyzes that the, PEACH protocol minimizes the energy consumption of each node and the proposing method support the hybrid multi-hop routing algorithm which extend the network lifetime of wireless sensor network from surviving with hot spot problem.

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

1 Energy efficiency is one of important key factor in designing a wireless sensor network system. Large energy consumption will affect the lifetime of the sensor networks.

Since data are transmitted wirelessly between sensor nodes, it is usually prone to eavesdropping and interception. It is important to maintain the privacy of data among sensor nodes even from trusted cooperating sensor nodes of the WSNs. It is necessary to prevent recovering the privacy of the data, even it is overheard or decrypted by the adversaries.

A wireless sensor network (WSN) is a network of nodes that sense and control the environment providing interaction between the machines and the surrounding environment. It is formed by large number of sensors nodes where each node is equipped with sensor to detect physical characteristic such as temperature, pressure, weight etc. [2]. WSN is a new revolutionary method which gathers information from sensor nodes providing a reliable and efficient network. With the growing technology of sensors, WSNs will become the key for internet of things. The current focus of sensor network is mainly on networking technology comprising of dynamic environment and the sensor nodes. The new research program of SenseIT provided the sensor networking with new capabilities such

Across the different field of applications, several routing protocols have been proposed to achieve enhanced network lifetime via energy efficient transmission [5]. The main cause for the energy depletion in batteries in WSN is the communication required to transmit and receive data to other nodes. Mostly the energy consumption in the network is due to transmission and reception activities. However, the energy consumed for the processing operation is less important than the energy used for communication [6].