More particularly, calculations are developed and examined to reduce the entire quantity of Wireless access points as well as their locations in almost any given atmosphere while with the throughput needs and the necessity to ensure every place in the area can achieve a minimum of k APs. This paper concentrates on using Wireless for interacting with and localizing the robot. We've carried out thorough studies of Wireless signal propagation qualities both in indoor and outside conditions, which forms the foundation for Wireless AP deployment and communication to be able to augment how human operators communicate with this atmosphere, a mobile automatic platform is developed. Gas and oil refineries could be a harmful atmosphere for various reasons, including heat, toxic gasses, and unpredicted catastrophic failures. When multiple Wireless APs are close together, there's a possible for interference. A graph-coloring heuristic can be used to find out AP funnel allocation. Additionally, Wireless fingerprinting based localization is developed. All of the calculations implemented are examined in real life situations using the robot developed and answers are promising. For example, within the gas and oil industry, during inspection, maintenance, or repair of facilities inside a refinery, people might be uncovered to seriously high temps to have a long time, to toxic gasses including methane and H2S, and also to unpredicted catastrophic failures.

/pdf/internet-of-vehicles-from-intelligent-grid-to-autonomous-pma0tn3ofd.pdf

Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds

Optimal chiller loading by improved invasive weed optimization algorithm for reducing energy consumption

Review and Classification of Bio-inspired Algorithms and Their Applications

In the development of smart cities across the world VANET plays a vital role for optimized route between source and destination The VANETs is based on infra-structure less network It facilitates vehicles to give information about safety through vehicle to vehicle communication (V2V) or vehicle to infrastructure communication (V2I) In VANETs wireless communication between vehicles so attackers violate authenticity, confidentiality and privacy properties which further effect security The VANET technology is encircled with security challenges these days This paper presents overview on VANETs architecture, a related survey on VANET with major concern of the security issues Further, prevention measures of those issues, and comparative analysis is done From the survey, found out that encryption and authentication plays an important role in VANETS also some research direction defined for future work

A review on VANET security attacks and their countermeasure

Self-adaptive discrete invasive weed optimization for the blocking flow-shop scheduling problem to minimize total tardiness

Information security plays a vital role during internet communication in today's era of technology. It is one of the most challenging issues now days. It is extremely important for people committing e-transactions like online shopping, money transfer etc. Cryptography and Steganography are some of the methods that are used for secure communication. The principle of cryptography is to manipulate the information so that unintended receiver will not be able to understand however the principle of steganography is to mask the very presence of communication; it hides the existence of message. Both the techniques are widely used to prevent not deliberated receiver's attacks from unauthorized access. This paper proposes a technique that provides multilayer security by integrating cryptography with steganography. The coding has been done in MATLAB and Stimulated results have been shown.

Integrating RSA cryptography & audio steganography

The spectrum underutilization can be overcome by the use of cognitive radio systems. A cognitive radio can intelligently allocate the unused spectrum of licensed user to the unlicensed user without giving any interference to the former and thereby and improved spectrum efficiency can be achieved. Cognitive radio is an artificial intelligent wireless technology which can allocate the licensed user channels to the unlicensed users without disturbing the licensed users thereby improving the spectrum efficiency. In this paper, we concentrate on an orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR). In a conventional OFDM system, the capacity is maximized using water filling algorithm. In this paper we jointly optimize the power and subcarrier allocation for OFDM based CR system in a multiuser environment. In addition to this we introduce the proportionality rate constraints. On the implementation of this, we achieve higher data rate with significantly low complexity.

Dynamic resource allocation in OFDM based cognitive radio system considering primary user QoS and secondary user proportional constraints

Seamless Vertical Handoff using Invasive Weed Optimization (IWO) algorithm for heterogeneous wireless networks

In the global scenario, a variety of wireless access networks are available. Different types of applications such as real time, nonreal time, and high bandwidth availability are used for heterogeneous wireless networks. Therefore, it is necessary for a service provider to make an appropriate connection support. For better performance, connections are to be exchanged among the different networks using seamless vertical handoff (VHO). The proposed algorithm shows the effect of optimization technique, which involves handoff decision process using vertical handoff triggering and selection of the network. The handoff triggering is initiated by using the received signal strength (RSS). In traditional method, handoff triggering is initiated by using RSS only. This method, modified weed optimization (M-WO) algorithm, reduces the unnecessary handoff by considering both RSS and velocity of the mobile node in handoff triggering. The parameters such as battery lifetime, handoff call dropping rate, load, dynamic weights adaptation and so on are to be considered individually or combined to make an effective network selection process. This paper highlights a novel effect ofM-WOalgorithm for decision making during the VHO. Our effort is to essentially optimize the system load, so that it reduces the handoff call dropping rate and the battery power consumption of the mobile node (MN). Weight of each QoS metrics is adjusted along with the networks changing conditions to trace the M-WO. Therefore, the novel VHO decision-making algorithm is superior to the existing SSF and OPTG methods. The simulation results show that the performance ofM-WOalgorithm is far better than SSF andOPTGmethods in terms of load, handoff call dropping rate and battery lifetime of MN.

Seamless vertical handoff using modified weed optimization algorithm for heterogeneous wireless networks

ad-hoc networks (VANETs) are renowned form of mobile ad-hoc networks. In VANET, wireless device sends information to nearby vehicles, and messages can be transmitted from one vehicle to another vehicle or roadside infrastructure. So, using VANET can increase safety and traffic optimization. Similar to other technologies, in VANET there are some important and noticeable issues. One of the most important of them is Security. Since the network is open and accessible from everywhere in the VANET radio range, it is expected to be an easy target for malicious users. Therefore there is a need for optimizing the Security of vehicular Ad- hoc networks by Mitigating malicious attacks. This paper presents a review of security requirements, attacks and security challenges to implement the security measures in the VANET. Existing solutions proposed by different researchers are also reviewed and compared to find out the research gaps and scopes in the field of VANET security.

/pdf/an-analytic-study-of-security-solutions-for-vanet-1riqx1tt17.pdf

Sibaram Khara

Papers

Integrating RSA cryptography & audio steganography

Dynamic resource allocation in OFDM based cognitive radio system considering primary user QoS and secondary user proportional constraints

Seamless Vertical Handoff using Invasive Weed Optimization (IWO) algorithm for heterogeneous wireless networks

Seamless vertical handoff using modified weed optimization algorithm for heterogeneous wireless networks

An Analytic Study of Security Solutions for VANET