Autor según el artículo: Millán P; Molina C; Meseguer R; Ochoa S; Santos R

Departamento: Enginyeria Informàtica i Matemàtiques

Autor/es de la URV: Millan Marco, Pedro

Palabras clave: Routing protocols Network topology prediction Mobile collaboration Mobile ad hoc networks History-based prediction

Resumen: © Springer International Publishing Switzerland 2014. Several social computing participation strategies, such as crowdsensing and crowdsourcing, use mobile ad hoc or opportunistic networks to support the users activities. The unreliability and dynamism of these communication links make routing protocols a key component to achieve efficient and reliable data communication in physical environments. Often these routing capabilities come at expenses of flooding the network with a huge amount of topology control information (TCI), which can overload the communication links and dramatically increase the energy consumption of the participating devices. In previous works the authors have shown that predicting the network topology in these work scenarios helps reduce the number of control packets delivered through the network. This saves energy and increases the available bandwidth. This paper presents a study that extends the authors’ previous works, by identifying the impact of predicting the TCI generated by routing protocols in these networks. The prediction process is done following a history-based approach that uses information of the nodes past behavior. The paper also determines the predictability limits of this strategy, assuming that a TCI message can be correctly predicted if it appeared at least once in the past. The results show that the upper-bound limit of the history-based prediction approach is high, and that realistic prediction mechanisms can achieve significant ratios of accuracy. Mobile collaborative applications and routing protocols using mobile ad hoc or opportunistic networks can take advantage of this prediction approach to reduce network traffic, and consequently, the energy consumption of their devices.

Áreas temáticas: Theoretical computer science Saúde coletiva Química Psicología Planejamento urbano e regional / demografia Odontología Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Linguística e literatura Interdisciplinar Geografía Geociências General o multidisciplinar General computer science Farmacia Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Educação física Educação Direito Comunicació i informació Comunicação e informação Computer science, theory & methods Computer science, artificial intelligence Computer science (miscellaneous) Computer science (all) Ciências sociais aplicadas i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência da computação Biotecnología Biodiversidade Astronomia / física Artes Arquitetura, urbanismo e design Arquitetura e urbanismo Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo

ISSN: 03029743

Direcció de correo del autor: pere.millan@urv.cat

Identificador del autor: 0000-0002-4132-7099

Fecha de alta del registro: 2023-07-31

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Lecture Notes In Computer Science. 8729 237-249

Referencia de l'ítem segons les normes APA: Millán P; Molina C; Meseguer R; Ochoa S; Santos R (2014). Using a history-based approach to predict topology control information in mobile ad hoc networks. Lecture Notes In Computer Science, 8729(), 237-249

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2014

Tipo de publicación: Journal Publications