Performance evaluation and comparison study of adaptive MANET service location and discovery protocols for highly dynamic environments

A critical requirement in Mobile Ad Hoc Networks (MANETs) is its ability to automatically discover existing services as well as their locations. Several solutions have been proposed in various communication domains which could be classified into two categories: (1) directory based, and (2) directory-less. The former is efficient but suffers from the amount of control messages being exchanged to maintain all directories in an agile environment. However, the latter approach attempts to reduce the amount of control messages to update directories, by simply sending broadcast messages to discover services; which is also a non-desirable approach in MANETs. This research work builds on top of our prior work (Nazeeruddin et al. in IFIP/IEEE international conference on management of multimedia networks and services, Springer, Berlin, 2006)) where we introduced a new efficient protocol for service discovery in MANETs (MSLD); a lightweight, robust, scalable, and flexible protocol which supports node heterogeneity and dynamically adapts to network changes while not flooding the network with extra protocol messages—a major challenge in today’s network environments, such as Internet of Things (IoT). Extensive simulations study was conducted on MSLD to: (1) initially evaluate its performance in terms of latency, service availability, and overhead messages, then (2) compare its performance to Dir-Based, Dir-less, and PDP protocols under various network conditions. For most performance metrics, simulation results show that MSLD outperforms Dir-Based, Dir-less, and PDP by either matching or achieving high service availability, low service discovery latency, and considerably less communication overhead.

Adaptive and Lightweight Abnormal Node Detection via Biological Immune Game in Mobile Multimedia Networks

Considering the contradiction between limited node resources and high detection costs in mobile multimedia networks, an adaptive and lightweight abnormal node detection algorithm based on artificial immunity and game theory is proposed in order to balance the trade-off between network security and detection overhead. The algorithm can adapt to the highly dynamic mobile multimedia networking environment with a large number of heterogeneous nodes and multi-source big data. Specifically, the heterogeneous problem of nodes is solved based on the non-specificity of an immune algorithm. A niche strategy is used to identify dangerous areas, and antibody division generates an antibody library that can be updated online, so as to realize the dynamic detection of the abnormal behavior of nodes. Moreover, the priority of node recovery for abnormal nodes is decided through a game between nodes without causing excessive resource consumption for security detection. The results of comparative experiments show that the proposed algorithm has a relatively high detection rate and a low false-positive rate, can effectively reduce consumption time, and has good level of adaptability under the condition of dynamic nodes.

Optimal Fitting Method of Nonlinear Simultaneous Equations Considering Structural Tensor Image Modeling

For the purpose of resolving the phenomenon of network congestion in the process of many-to-one communication in multimedia networks at present, the optimal fitting method of nonlinear simultaneous equations (OFMNSEs) is applied to the multimedia transmission congestion control system in this paper. The rate control and resource scheduling are effectively combined, and a clustering network structure is used to activate the congestion control method in turn based on the cluster header and intracluster-related indexes. Finally, it can be known through the analysis of the simulation results that the OFMNSE algorithm put forward in this paper can improve the congestion issue of the multimedia network transmission process and reduce the packet loss rate of data during the transmission effectively under the condition of different relative cache sizes compared with the conventional algorithm.

UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in multimedia networks. This paper addresses a comprehensive survey of almost scenarios utilizing UAVs and UGVs with strogly emphasising on UAVs for data collection in WSNs. Either UGVs or UAVs can collect data from static sensor nodes in the monitoring fields. UAVs can either work alone to collect data or can cooperate with other UAVs to increase their coverage in their working fields. Different techniques to support the UAVs are addressed in this survey. Communication links, control algorithms, network structures and different mechanisms are provided and compared. Energy consumption or transportation cost for such scenarios are considered. Opening issues and challenges are provided and suggested for the future developments.

Introduction to information and communication technologies

The textbook examines the main milestones in the history of the development of information technologies, computing and computer technology abroad and in Russia. Special attention is paid to the methodology of scientific research in the field of infocommunications. The current sections of the development of telecommunications technologies in the field of multimedia networks and network operating systems are presented. In order to develop practical skills, a laboratory workshop is given. Meets the requirements of the federal state educational standards of higher education of the latest generation. For senior students of technical specialties, postgraduates, researchers, teachers of higher educational institutions, students of advanced training institutes.

Application of Multimedia Networks in Business English Teaching in Vocational College

To better meet the needs of economic restructuring and industrial development in China, educators in vocational colleges have to find new approaches to narrow the gaps between the updated requirements from the employers for business English majors and the vocational college education reality. Under this circumstance, a tentative study was carried out with the aids of multimedia to help the educators remove obstacles blocking achieving their educational aim, which is cultivating the graduates who are qualified for the social requirement. This study mainly discussed how effective the multimedia networks can help the business English majors in vocational colleges to enrich their work experience and enhance their practical English ability, computer skills, communication skills, and cooperation skills comprehensively. It aimed at exploring the ways of helping the business English majors in vocational colleges to gain work experience and improve their practical English skills, computer skills, communication skills, and cooperation skills with the aid of multimedia networks. An experimental teaching program was designed under the guidelines of a task-based teaching approach and constructive learning theory. The program includes four teaching models, which are in-class learning and field preparation, mock practice, in-field learning and field education, and learning reflection. All learning and field practices are delivered online facilitated by multimedia networks. One hundred and forty sophomores majoring in business English are selected as participants of the program. Data of students’ confidence in all five monitored essential abilities are collected before and after the learning procedure through questionnaires, and students’ feedbacks are collected through interviews. The statistical results show that multimedia networks can help students improve their overall competence, especially in gaining work experience and practical English skills. Moreover, adopting multimedia networks in teaching can provide more internship opportunities, enrich teaching scenarios, and prolong net teaching hours, which forms a preferred learning environment and provides better learning outcomes. It could also be used to assist communication and cooperation trainings.

Solving the Problem of Target k-Coverage in WSNs Using Fuzzy Clustering Algorithm

The purpose of the present research was to introduce an algorithm to solve the coverage problem in wireless multimedia networks that can be used to optimize energy consumption and network lifetime. In this regard, the problem of target k-coverage in WSNs was solved by dividing the environment into the proportional area and random selection. This can be done using a fuzzy clustering algorithm. It is worth noting that the results of the proposed algorithm were compared with previous methods such as genetic and annealing algorithm. The simulation results and comparison with other algorithms show a 27% superiority of the proposed algorithm. It is hoped that this method can be used in networks with larger dimensions in the future