For any communication system, jammers are one of the major reasons leading to denial of service to the desired end user of the system. These jammers could be deployed as part of some security protocol to stop RF communication in a particular area or with an objective to intentionally disrupt communication services. To counter the latter case, anti-jamming capability is a crucial and desired characteristic of any communication system. The performance analysis of such jamming systems presented in previous studies has mainly considered the effect of jamming under AWGN channel conditions. No significant analysis has been done considering the effect of multipath fading. In this paper, the authors have investigated the effect of jamming signal for commonly used digital modulation techniques in a more realistic environment by considering the fading aspect of communication channels. Bit Error Rate (BER) expressions have been obtained for different modulation techniques to analyze the effect of jamming signal. The proposed model provides a more realistic scenario for system designers to calculate and estimate the outage limits for an anti-jamming communication system.
Abstract A widespread deployment of 5G technology with the Internet of Things (IoT) will be there in future years. The implementation of 5G technology perhaps becomes fortuitous for IoT as IoT has different variants of applications in the field of tracking data, and security systems. It is also applicable to applications like smart cities and smart buildings etc. Further, the introduction of the new frequency band in the present communication system gardened the interest of researchers in the area of optimization of energy in a mobile environment with dense traffic. This paper aims to represent the basics of 5G system along with IoT implementations. Also different techniques for energy efficiency are comparatively analyzed with their pros and cons for mobile wireless sensor networks.
The next step in the evolution of active networks - one that will support radical new uses of the network and increased scalability - is to package the power of a programmable network platform into customizable active services that are easy for applications to use. The Activecast project has developed and is evaluating a set of active services that will not only enhance the "application-friendliness" of active networks, but will also improve the scalability and usability of networks in general. This paper discusses the challenges of programming active networks and then presents four new active network services, PAM-cast, Concast, ESP, and LWP, that simplify the task of programming active networks. PAMcast services allow messages to be sent to any node(s) satisfying a set of user-supplied selection criteria. The Concast service provides the logical inverse of multicast, gathering and merging data from a set of senders. Finally, the ESP and LWP services provide extremely lightweight building-blocks on which additional higher-level semantic services can be constructed. For each service, we describe the service abstraction, the ways in which users can customize the service, and its ease of use (i.e., how the customized service is automatically distributed across and "programmed" into the network on the user's behalf). We also present results from simulation models and actual implementations of the new services that demonstrate the scalability and performance of the services.
The Internet of things (IoT) is a system of interrelated computing devices having unique identifiers that enable to transfer data over a network without requiring human-to-computer or human-to-human interaction. With the rapid growth in embedded wireless computing devices with high-speed Internet connectivity, body area networks comprising of interconnected several tiny-powered, wearable wireless biosensors provide an effective way of collecting vital health-related data. The emerging paradigm of the IoT in the smart healthcare system requires a specialized secure framework in order to enable real-time health monitoring, reliable diagnostics, effective treatment processes, and many other related aspects of the healthcare system. The network framework for the IoT-based healthcare system should cater to upgraded microcontroller units, IoT gateway devices, different web and wireless technologies for the IoT, variety of biosensors and data collectors, secure communication protocols, etc. These devices are continuously engaged in computation, processing, and transmission of data, which is a high-power consumption activity. On the contrary, most of these devices are battery driven, and thus, there is a strong requirement to minimize the consumption of power, thus making it an energy-efficient network. In this chapter, various 270aspects of energy consumption in the IoT framework for healthcare services are discussed.
This paper presents a distortion optimized streaming algorithm for on-demand streaming of multimedia. Given the pre-encoded packets of a multimedia stream, we propose an algorithm for selecting an appropriate subset of these packets such that the overall client distortion is minimized. This minimization is performed within the rate constraints imposed by the communication channel. In the interest of computation it is desirable to limit the horizon (i.e. the look-ahead) over which the optimization is performed. Inevitably, shortening the horizon leads to sub-optimal results. We alleviate the impact due to this through the introduction of a buffering constraint that stipulates a minimum desired buffer occupancy at all time during the streaming session. We pose this problem as a Lagrangian minimization - the solution to which is obtained through an iterative descent algorithm. We demonstrate the efficacy of the proposed approach through empirical evaluation.
Exponential growth of user demands on a single convergence platform has brought researchers to explore various aspects/features of Fourth Generation (4G) Mobile Communication System. Selection of application as per the user preference based on QoS (Quality of Service) is one salient feature of 4G. This user-centric system works on the basis to provide best services of the network to the users. In this paper, a selection algorithm has been proposed which provides a better way to implement user preferences as per the features of 4G. Rank based on distance function has been computed for various available services/access technologies, called networks. Weighted distance function is obtained based on multiple QoS parameters as per user needs. The proposed algorithm shows better results compared to single parameter based system, under a heterogeneous network system.
Concast is a network layer service that provides many-to-one channels: multiple sources send messages toward one destination, and the network delivers a single "merged" copy to that destination. As we have defined it, the service is generic but the relationship between the sent and received messages can be customized for particular applications. We describe the concast service and show how it can be implemented in a back ward-compatible manner in the Internet. We describe its use to solve a problem that has eluded scalable end-system-only solutions: collecting feedback in multicast applications. Our preliminary analysis of concasting effectiveness shows that it provides significant benefits, even with partial deployment. We argue that concast has the characteristics needed for a programmable service to be widely accepted and deployed in the Internet.
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