Leonard Barolli

Modeling and Processing for Next-Generation Big-Data Technologies

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

Tokens for Anonymous Communications in the Internet

With the growth and acceptance of the Internet, there has been increased interest in maintaining anonymity in the network. Using traffic analysis, it is possible to infer who is talking to whom over a public network. This work develops a novel approach to hide the senders and the receivers of messages. Routes are chosen and frames traverse these routes. Each frame consists of a token and a node can send a message through a frame only when the corresponding token is free. The best thing about our protocol is that it poses no bandwidth overhead when there is at least some traffic while posing minimal bandwidth overhead when there is no traffic at all

Advances on Broad-Band Wireless Computing, Communication and Applications

The success of all-IP networking and wireless technology has changed the ways of living the people around the world. The progress of electronic integration and wireless communications is going to pave the way to offer people the access to the wireless networks on the fly, based on which all electronic devices will be able to exchange the information with each other in ubiquitous way whenever necessary. The aim of the volume is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of broadband and wireless computing. This proceedings volume presents the results of the 11th International Conference on Broad-Band Wireless Computing, Communication And Applications (BWCCA-2016), held November 5-7, 2016, at Soonchunhyang University, Asan, Korea.

A Fuzzy-Based System for Actor Node Selection in WSANs Considering Load Balancing of Actors

Wireless Sensor and Actor Network (WSAN) is formed by the collaboration of micro-sensor and actor nodes. The sensor nodes have responsibility to sense an event and send information towards an actor node. The actor node is responsible to take prompt decision and react accordingly. In order to provide effective sensing and acting, a distributed local coordination mechanism is necessary among sensors and actors. In this work, we consider the actor node selection problem and propose a fuzzy-based system that based on data provided by sensors and actors selects an appropriate actor node. We use 4 input parameters: Size of Giant Component (SGC), Distance to Event (DE), Remaining Energy (RE) and Number of Sensors per Actor (NSA) as new parameter. The output parameter is Actor Selection Decision (ASD). Considering NSA parameter, the ASD has better values when NSA is medium. Thus, when the NSA value is 0.5 the load is distributed better and in this situation the possibility for the actor to be selected is high.

A Threshold-Based Adaptive Method for Message Suppression Controller in Vehicular DTNs

Vehicular Delay/Disruption/Disconnection Tolerant Networking (Vehicular DTN) has the potential to alternative communication method for disaster situation like large delay situations. In our previous work, we have evaluated the performance of our proposed Message Suppression Controller (MSC) for inter-vehicle communications. In this paper, we propose a threshold-based adaptive method for MSC in Vehicular DTNs. The simulations are conducted in urban environment based on Scenargie network simulator considering IEEE 802.11p. From the simulation results, we observe that our proposed method decreases the replicated bundle messages even if the network condition is sparse or dense.

Performance Behavior of WMN-PSODGA Simulation System for WMNs Considering Uniform and Chi-Square Client Distributions

The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. We analyze the performance of WMNs using WMN-PSODGA simulation system considering Uniform and Chi-square client distributions. Simulation results show that the WMN-PSODGA has good performance for Chi-square distribution compared with the case of Uniform distribution.

Performance Evaluation of a Fuzzy-Based Cluster-Management System for VANETs

In recent years, inter-vehicle communication has attracted attention because it can be applicable not only to alternative networks but also to various communication systems. In this paper, we evaluate the proposed Fuzzy-Based Cluster-Management System (FBCMS) for VANETs. We present and compare two fuzzy-based systems: FBCMS1 and FBCMS2 for clustering of vehicles in VANETs. We conclude that by selecting vehicles with high GS, RA, SC and DC values, the vehicles have high connectivity with other vehicles and are more secure, so they will be selected as the cluster head of the cluster. By comparing FBCMS1 and FBCMS2, we found that the FBCMS2 can manage better the vehicles in the cluster than FBCMS1.

A Fuzzy-Based System for Safe Driving Information in VANETs

Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with people. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. In this paper, we propose a Fuzzy-based system for safe driving information in VANETs. The proposed system considers in-car environment data and driver’s vital signs data to make the decision. Then uses the smart-box to inform the driver and change his mood. We want to realize a new system to support the driver for save driving. We evaluated the performance of proposed system by computer simulations. From the simulations results, we conclude that the driver vital information, vehicle mobility information and car environment information have different effects to the driver.