A cross-layer predictive routing protocol for mobile ad hoc networks

Marco Carvalho; Robert Winkler; Carlos Perez; Jesse Kovach; Steve Choy

doi:10.1117/12.777750

3 April 2008 A cross-layer predictive routing protocol for mobile ad hoc networks

Marco Carvalho, Robert Winkler, Carlos Perez, Jesse Kovach, Steve Choy

Proceedings Volume 6981, Defense Transformation and Net-Centric Systems 2008; 69810O (2008) https://doi.org/10.1117/12.777750
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In this paper we introduce a cross-layer mechanism to enhance the effectiveness of link-state routing protocols by providing a localized estimate of the validity of a given route. Accurate predictions of route staleness result in less packet loss by selecting alternative paths before primary path failures. We present a proof of concept implementation that utilizes shared location and velocity information provided from each node through a common cross-layer substrate. Simulations using random-walk mobility models are presented for the OLSR protocol. The results show that predictive route adaptation can significantly reduce the average packet loss, average delay and jitter.

Citation Download Citation

Marco Carvalho, Robert Winkler, Carlos Perez, Jesse Kovach, and Steve Choy "A cross-layer predictive routing protocol for mobile ad hoc networks", Proc. SPIE 6981, Defense Transformation and Net-Centric Systems 2008, 69810O (3 April 2008); https://doi.org/10.1117/12.777750

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available