Digital processing of speech signals

/pdf/ieee-wireless-communications-and-networking-conference-2fkoe7n959.pdf

IEEE Wireless Communications and Networking Conference

This paper surveys the energy-efficient routing protocols in wireless sensor networks (WSNs). It provides a classification and comparison following a new proposed taxonomy distinguishing nine categories of protocols, namely: Latency-aware and energy-efficient routing, next-hop selection, network architecture, initiator of communication, network topology, protocol operation, delivery mode, path establishment and application type. We analyze each class, discuss its representative routing protocols (mechanisms, advantages, disadvantages…) and compare them based on different parameters under the appropriate class. Simulation results of LEACH, Mod-LEACH, iLEACH, E-DEEC, multichain-PEGASIS and M-GEAR protocols, conducted under the NS3 simulator, show that the routing task must be based on various intelligent techniques to enhance the network lifespan and guarantee better coverage of the sensing area.

/pdf/comparative-study-of-energy-efficient-routing-techniques-in-4ze5nkt6xc.pdf

Comparative Study of Energy Efficient Routing Techniques in Wireless Sensor Networks

Survey on sybil attack defense mechanisms in wireless ad hoc networks

The innovative technologies emerged with the industrial revolution “Industry 4.0” as well as the new ones on the way of advanced digitalization enable delivering enhanced, value-added and cost-effective manufacturing and service operations. One of the first areas of focus for Industry 4.0 applications is operations related to healthcare services. Effective management of healthcare resources, clinical care processes, service planning, delivery and evaluation of healthcare operations are essential for a well-functioning healthcare system. Yet, with the adoption of technologies such as Internet of Health Things, Medical Cyber–Physical Systems, Machine Learning, and Big Data (BD), the healthcare sector has recognized the relevance of Industry 4.0. The concept of BD offered numerous advantages and opportunities in this field. It changed the way information is gathered, shared and utilized. Hence, in this study our main ambition is to provide readers with a review of publications which lie within the intersection of Industry 4.0, BD, and healthcare operations and give future perspectives. Our review shows that BD constitutes an important place on the technologies Industry 4.0 provides in the healthcare domain. It helps design, improve, analyze, assess and optimize operations in the domain. 

Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives

This paper presents a design of rectangular microstrip antenna patch applied a WBAN (Wireless Body Area Network). The antenna is designed over the operating frequency is 2.4 GHz using the substrate material as FR-4 which has the dielectric constant of 4.3. The designed antenna can be used for ISM (industrial, scientific and medical) band and UWB applications. The designed antenna has low profile, low cost, easy fabrication and good isolation. The antenna is designed by using CST simulation software and designed antenna provides return loss less then -10 dB. The proposed antenna is designed with the purpose of obtaining a low SAR models of the human body, considering both the electromagnetic effect and the shell model in human tissues.

Design of Rectangular Microstrip Patch Antenna for 2.4 GHz applied a WBAN

The Wireless Sensor Network (WSN), have been technological advances that have improved some features to achieve low cost, low power consumption and tiny sizes in wireless sensor nodes. However, one of the issues still restless in Wireless Sensor Networks is the limited battery power of sensor nodes. This paper, share with mechanisms to achieve energy efficiency in a WSN, focusing particularly on routing protocols. Based on the state of the art, is presented a complete taxonomy of routing protocols used in WSN exposing their level of energy efficiency.

Energy efficiency in routing protocols applied to WSN

Traffic streams, sources as well as aggregated traffic flows, often exhibit long-range-dependent (LRD) properties. This paper presents the theoretical foundations to justify that the behavior of traffic in a high-speed computer network can be modeled from a self-similar perspective by limiting its scope of analysis to the network layer, since the most relevant properties of self-similar processes are consistent for use in the formulation of traffic models when performing this specific task.

/pdf/discussion-of-the-analysis-of-self-similar-teletraffic-with-3piez3fju9.pdf

Discussion of the Analysis of Self-similar Teletraffic with Long-range Dependence (LRD) at the Network Layer Level

A qualitative and quantitative extension of the chaotic models used to generate self-similar traffic with long range dependence LRD is presented by means of the formulation of a model that considers the use of piecewise affine one-dimensional maps. Based on the disaggregation of the temporal series generated, a valid explanation of the behavior of the values of Hurst's exponents is proposed and the feasibility of their control from the parameters of the proposed model is shown.

/pdf/a-simple-model-for-the-generation-of-lrd-self-similar-3azr8rz5r1.pdf

A simple model for the generation of LRD self-similar traffic using piecewise affine chaotic one-dimensional maps

Nowadays, Cognitive Radio Sensor Networks (CRSN) arise as an emergent technology to deal with the spectrum scarcity issue and the focus is on devising novel energy-efficient solutions. In static CRSN, where nodes have spatial fixed positions, several reported solutions are implemented via sensor selection strategies to reduce consumed energy during cooperative spectrum sensing. However, energy-efficient solutions for dynamic CRSN, where nodes are able to change their spatial positions due to their movement, are nearly reported despite today’s growing applications of mobile networks. This paper investigates a novel framework to optimally predict energy consumption in cooperative spectrum sensing tasks, considering node mobility patterns suitable to model dynamic CRSN. A solution based on the Kataoka criterion is presented, that allows to minimize the consumed energy. It accurately estimates -with a given probability-the spent energy on the network, then to derive an optimal energy-efficient solution. An algorithm of reduced-complexity is also implemented to determine the total number of active nodes improving the exhaustive search method. Proper performance of the proposed strategy is illustrated by extensive simulation results for pico-cells and femto-cells in dynamic scenarios.

/pdf/energy-efficient-cooperative-spectrum-sensing-based-on-25u33ftyd4.pdf

Hector Kaschel

Papers

Design of Rectangular Microstrip Patch Antenna for 2.4 GHz applied a WBAN

Energy efficiency in routing protocols applied to WSN

Discussion of the Analysis of Self-similar Teletraffic with Long-range Dependence (LRD) at the Network Layer Level

A simple model for the generation of LRD self-similar traffic using piecewise affine chaotic one-dimensional maps

Energy-Efficient Cooperative Spectrum Sensing Based on Stochastic Programming in Dynamic Cognitive Radio Sensor Networks