Network Networks And Its Ability Of Being Connected Even Below Failures And Attacks

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.

A Wireless Sensor Network is one kind of wireless network includes a large number of circulating, self-directed, minute, low powered devices named sensor nodes called motes. These networks certainly cover a huge number of spatially distributed, little, battery-operated, embedded devices that are networked to caringly collect, process, and transfer data to the operators, and it has controlled the capabilities of computing & processing. Nodes are the tiny computers, which work jointly to form the networks. The sensor node is a multi-functional, energy efficient wireless device. The applications of motes in industrial are widespread. A collection of sensor nodes collects the data from the surroundings to achieve specific

According to Kizza (2013), the rapid growth of networking has led to increased security risks. Many of these risks are as result of hacking, improper uses of network resources and network device vulnerabilities. Awareness of the various weaknesses and vulnerabilities is vital to the success of current networks (Kizza, 2013).

Security services are an integral part of any network design. Assessing the vulnerability of network infrastructure to disruptive events is recognized as an important component of network planning and analysis. This section provides an overview of common network infrastructure vulnerabilities, essential network security concepts analysis and present. It illustrates the possible placement of servers including access paths to the Internet, intrusion detection systems (IDS), and firewalls. This paper also describes a comprehensive security policy for a company including ethical aspects related to employee behavior, contractors, password usage, and access to networked resources and information.

Wireless networks have grown in popularity. This is largely due to the increase in the value of a network as more users are attached to it. The value added to a network by nature of connecting more devices to it, is summarized in "Metcalf's law." Metcalf's law states that if you "connect any number, ‘n,' of machines - whether computers, phones or even

In such type of networks, nodes usually communicate using wireless channels instead of common control. These nodes help each other by relying and forwarding each others packets, involving several such nodes throughout the path. However, this cooperative effort to launch attacks can be exploited by any possible rival. This can further result in destroying the network’s performance. But, there are also certain drawbacks, if the rival continuously attacks the system. Firstly, it is easy to detect high any sort of packet loss rate at the malicious nodes and secondly, after these are detected, they can be weakened easily.

Machine or perception nodes are mostly distributed in the absence of monitoring scenarios. An intruder can easily access these devices which simply damage them or illegal actions on these nodes were done. Possible threats are analyzed and are categorized to unauthorized access to data, threats to the Internet and denial of service attack.

Wireless Sensor Network is a new technology consists of related distributed sensors to monitor physical or environmental condition. A basic wireless sensor network is shown in fig 1.1. A wireless sensor network (WSN) has many small sensor nodes deployed in large numbers to sense the physical world. WSN have many applications such as military and civilian usage.

Technological developments have to such an outbreak in Wireless Sensor Networks (WSNs), they are used in a wide variety of today’s industrial and consumer applications and holds limitless future potentials for any type of ambience surveillance, hence fault tolerance in WSNs which are easily prone to failure, is crucial. WSN’s comprised of tiny sensor devices (sensor nodes) and the wireless network itself. A node consists of

A wireless sensor network (WSN) is a computer network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations.[1] The development of wireless sensor networks was originally motivated by military applications such as battlefield surveillance. However, wireless sensor networks are now used in many civilian application areas, including environment and habitat monitoring, healthcare applications, home automation, and traffic control.[1][2]

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

Also, we consider this connected WSN as 1-connected. Depends on the different connectivity/failure resilience requirement, the stronger types of connectivity need to be considered, i.e., k-connectivity. Based on the definition of connectivity in the graph theory, which is “it asks for the minimum number of elements (nodes or edges) that need to be removed to disconnect the remaining nodes from each other”, k-connectivity means that the network can keep its connectivity by removing at most k-1 nodes from itself. In this case, a network with k-connectivity and k>1 has much better fault tolerance/resilience than a network with only 1-connectivity. Since the nodes in a WSN could be failed randomly which are caused by battery depletion or wireless interference, preserving the k-connectivity is critical for WSN and could extend the life time of a WSN. Li et al. [6] provided a good survey on connectivity and coverage in WSNs.

The collection of sensor nodes by enabling cooperation, coordination and collaboration among sensor nodes is formed Wireless Sensor Network (WSN); the WSN consists of multiple autonomous nodes with a base station.

The remote sensor system is framed by vast number of sensor hubs. Sensor hubs may be homogeneous or heterogeneous. These systems are much conveyed and comprise of numerous number of less cost, less power, less memory and self-arranging sensor hubs. The sensor hubs have the capacity of detecting the temperature, weight, vibration, movement, mugginess, and sound as in and so on. Because of a requirement for heartiness of checking, remote sensor systems (WSN) are normally excess. Information from various sensors is totaled at an aggregator hub which then advances to the base station just the total qualities. Existing framework just concentrate on recognition of Attack in the system. This paper locations investigation of Attack Prevention furthermore gives a thought to how to conquer the issues.