VRAC: Simulation Results #1

TL;DR

This paper proposes a novel multi-dimensional routing approach using raw distance to anchors instead of traditional localization, enabling robust geographic routing in large sensor networks without expensive hardware.

Contribution

It introduces a method to use raw distance measurements directly for routing, bypassing the need for node localization in sensor networks.

Findings

Raw coordinate approach maintains routing efficiency.

Applicable to multiple geographic routing algorithms.

Enables large-scale sensor network routing without GPS.

Abstract

In order to make full use of geographic routing techniques developed for large scale networks, nodes must be localized. However, localization and virtual localization techniques in sensor networks are dependent either on expensive and sometimes unavailable hardware (e.g. GPS) or on sophisticated localization calculus (e.g. triangulation) which are both error-prone and with a costly overhead. Instead of localizing nodes in a traditional 2-dimensional space, we use directly the raw distance to a set of anchors to route messages in a multi-dimensional space. This should enable us to use any geographic routing protocol in a robust and efficient manner in a very large range of scenarios. We test this technique for two different geographic routing algorithms, namely GRIC and ROAM. The simulation results show that using the raw coordinates does not decrease their efficiency.