Analysis of some Mobile Applications for Cycling

This article analyzes some available bike mobile applications as an alternative to bike computers, as known as cycle computers or speedometers or speed sensors. We have stored a lot of datasets recorded from different mountain bike routes; in this study, we analyzed two routes only. Most mobile cycling applications estimate fields such as speed, heading, slope, distance, VMG (Velocity Made Good) and pace (cadence). However, it is necessary to calculate the relationship between cadence and power in pedaling so that cyclists know the appropriate moment to apply force to their legs to improve the torque. We studied four cycling apps and one bike computer. The contribution of this paper lies in the fact that it reports and compares measurements of cycling workouts using four mobile applications for cycling, at the same time these measurements are compared against a speedometer; the differences in distance and speed between the mobile apps used in this study are slightly notorious. We also show comparative tables and graphs, and performance evaluation of biking routes in two different bike routes

Arquitectura de descubrimiento de servicios en MANET basada en dispositivos de capacidades superiores liderando clusters

This thesis introduces LIFT, a combination of a cluster-based approach with a cross-layer scheme in order to discover services in MANET. In this proposal, High Capability Devices (HCD) are differentiated from Limited Capability Devices (LCD). HCD are set up as the cluster leaders in each cluster so as to perform most of the service discovery activities. Thus, LIFT manages local traffic instead of global traffic. Consequently, messages, energy, computing processes, and bandwidth were reduced due to the optimum usage of network resources. In order to know if LIFT achieves its goal to minimize resources, we have compared LIFT with another well-known solution (AODV-SD) in terms of control message overhead, energy consumption, PDR, throughput, hop count average, NRL, end-to-end delay, and service acquisition time. After carrying out many trials and simulations, LIFT improved previous results in the area. Resumen: La tesis presenta a LIFT, una solución para descubrir servicios en MANET que combina un enfoque basado en cluster con un esquema cross-layer. En esta propuesta se diferencian los dispositivos de capacidades superiores (HCD) de los dispositivos de capacidades limitadas (LCD). Los HCD se establecen como líderes en cada cluster para ejecutar la mayoría de las actividades de descubrimiento de servicios. De esta forma, LIFT maneja tráfico local en vez de tráfico global. Por tanto, se reduce el consumo de mensajes, energía y cómputo al hacer uso óptimo de los recursos de la red. Para saber si LIFT logra el objetivo de minimizar recursos, lo hemos comparado contra otra solución (AODV-SD) en aspectos como sobrecarga de paquetes de control, consumo de energía, PDR, throughput, promedio de saltos, NRL, retardo extremo a extremo y tiempo de adquisición de servicios. Después de muchas pruebas y simulaciones, LIFT mejora resultados anteriores en este camp