Hardware and software platforms for distributed computing on resource constrained devices

4Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The basic idea of distributed computing is that it is possible to solve a large problem by using the resources of various computing devices connected in a network. Each device interacts with each other in order to process a part of a problem, contributing to the achievement of a global solution. Wireless sensor networks (WSNs) are an example of distributed computing on low resources devices. WSNs encountered a considerable success in many application areas. Due to the constraints related to the small sensor nodes capabilities, distributed computing in WSNs allows to perform complex tasks in a collaborative way, reducing power consumption and increasing battery life. Many hardware platforms compose the ecosystem ofWSNs and some lightweight operating systems have also been designed to ease application deployment, to ensure efficient resources management, and to decrease energy consumption. In this chapter we focus on distributed computing from several points of view emphasizing important aspects, ranging from hardware platforms to applications on resource constrained devices. © Springer International Publishing Switzerland 2014.

Cite

CITATION STYLE

APA

Martorella, G., Peri, D., & Toscano, E. (2014). Hardware and software platforms for distributed computing on resource constrained devices. Advances in Intelligent Systems and Computing, 260, 121–133. https://doi.org/10.1007/978-3-319-03992-3_9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free