Biblio
The wireless technology has knocked the door of tremendous usage and popularity in the last few years along with a high growth rate for new applications in the networking domain. Mobile Ad hoc Networks (MANETs) is solitary most appealing, alluring and challenging field where in the participating nodes do not require any active, existing and centralized system or rigid infrastructure for execution purpose and thus nodes have the moving capability on arbitrary basis. Radio range nodes directly communicate with each other through the wireless links whereas outside range nodes uses relay principle for communication. Though it is a rigid infrastructure less environment and has high growth rate but security is a major concern and becomes vital part of providing hostile free environment for communication. The MANET imposes several prominent challenges such as limited energy reserve, resource constraints, highly dynamic topology, sharing of wireless medium, energy inefficiency, recharging of the batteries etc. These challenges bound to make MANET more susceptible, more close to attacks and weak unlike the wired line networks. Theresearch paperismainly focused on two aspects, one is computation termination of cluster head algorithm and another is use of finite state machine for attacks identification.
Wireless technology has seen a tremendous growth in the recent past. Orthogonal Frequency Division Multiplexing (OFDM) modulation scheme has been utilized in almost all the advanced wireless techniques because of the advantages it offers. Hence in this aspect, SystemVue based OFDM transceiver has been developed with AWGN as the channel noise. To mitigate the channel noise Convolutional code with Viterbi decoder has been depicted. Further to protect the information from the malicious users the data is scrambled with the aid of gold codes. The performance of the transceiver is analysed through various Bit Error Rate (BER) versus Signal to Noise Ratio (SNR) graphs.
Mobile Ad hoc Network (MANET for short) is a new art of wireless technology that connect a group of mobile nodes in a dynamically decentralized fashion without the need of a base station, or a centralized administration, whereas each mobile node can work as a router. MANET topology changes frequently, because of the MANET dynamically formation nature, and freely to move randomly. MANET can function as standalone or can be connected to external networks. Mobile nodes are characterized with minimal human interaction, weight, less memory, and power. Despite all the pros of MANET and the widely spreading in many and critical industries, MANET has some cons and suffers from severe security issues. In this survey we emphasize on the different types of attacks at MANET protocol stack, and show how MANET is vulnerable to those attacks.
With the advancement in the wireless technology there are more and more devices connected over WiFi network. Security is one of the major concerns about WiFi other than performance, range, usability, etc. WiFi Auditor is a collection of WiFi testing tools and services packed together inside Raspberry Pi 3 module. The WiFi auditor allows the penetration tester to conduct WiFi attacks and reconnaissance on the selected client or on the complete network. WiFi auditor is portable and stealth hence allowing the attacker to simulate the attacks without anyone noticing them. WiFi auditor provides services such as deliberate jamming, blocking or interference with authorized wireless communications which can be done to the whole network or just a particular node.
The concept of Smart grid technology sets greater demands for reliability and resilience on communications infrastructure. Wireless communication is a promising alternative for distribution level, Home Area Network (HAN), smart metering and even the backbone networks that connect smart grid applications to control centres. In this paper, the reliability and resilience of smart grid communication network is analysed using the IEEE 802.11 communication technology in both infrastructure single hop and mesh multiple-hop topologies for smart meters in a Building Area Network (BAN). Performance of end to end delay and Round Trip Time (RTT) of an infrastructure mode smart meter network for Demand Response (DR) function is presented. Hybrid deployment of these network topologies is also suggested to provide resilience and redundancy in the network during network failure or when security of the network is circumvented. This recommendation can also be deployed in other areas of the grid where wireless technologies are used. DR communication from consumer premises is used to show the performance of an infrastructure mode smart metering network.
Radio Frequency IDentification (RFID) is a technique for speedy and proficient identification system, it has been around for more than 50 years and was initially developed for improving warfare machinery. RFID technology bridges two technologies in the area of Information and Communication Technologies (ICT), namely Product Code (PC) technology and Wireless technology. This broad-based rapidly expanding technology impacts business, environment and society. The operating principle of an RFID system is as follows. The reader starts a communication process by radiating an electromagnetic wave. This wave will be intercepted by the antenna of the RFID tag, placed on the item to be identified. An induced current will be created at the tag and will activate the integrated circuit, enabling it to send back a wave to the reader. The reader redirects information to the host where it will be processed. RFID is used for wide range of applications in almost every field (Health, education, industry, security, management ...). In this review paper, we will focus on agricultural and environmental applications.
Although wireless communication is integral to our daily lives, there are numerous crucial questions related to coverage, energy consumption, reliability, and security when it comes to industrial deployment. The authors provide an overview of wireless machine-to-machine (M2M) technologies in the context of a smart factory.