Abstract

The quality of an IEEE 802.15.4 link can be estimated on the basis of the Link Quality Indication (LQI), which is a parameter offered by the IEEE 802.15.4 physical layer. The LQI has been recommended by organizations such as the ZigBee Alliance and the IETF as an input to routing metrics for IEEE 802.15.4 multihop networks. As these networks evolve, one-to-one communications gain relevance in many application areas. In this paper, we present an in-depth, experimental study on the impact of LQI-based routing metrics on the performance of a one-to-one routing protocol for IEEE 802.15.4 multihop networks. We conducted our experiments in a 60-node testbed. Experiments show the spectrum of performance results that using (or not) the LQI may yield. Results also highlight the importance of the additive or multiplicative nature of the routing metrics and its influence on performance.

Highlights

  • The IEEE 802.15.4 standard [1, 2] specifies the Physical layer (PHY) and Medium Access Control (MAC) functionality of a Low-power, low-rate Wireless Personal Area Network (LoWPAN) technology conceived for a wide variety of control and monitoring applications

  • The quality of an IEEE 802.15.4 link can be estimated on the basis of the Link Quality Indication (LQI), which is a parameter offered by the IEEE 802.15.4 physical layer

  • We present an in-depth, experimental study on the impact of using the LQI in routing metrics for a routing protocol based on Ad hoc On-demand Distance Vector (AODV), which is called Not So Tiny-AODV (NST-AODV) [26]

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Summary

Introduction

The IEEE 802.15.4 standard [1, 2] specifies the Physical layer (PHY) and Medium Access Control (MAC) functionality of a Low-power, low-rate Wireless Personal Area Network (LoWPAN) technology conceived for a wide variety of control and monitoring applications. Many routing protocols that are currently used for this application space are descendants of the Ad hoc On-demand Distance Vector (AODV) routing protocol [10] Examples of these are the mesh routing functionality of the ZigBee stack [4], the one-to-one mechanism of the IPv6 Routing Protocol for Low-power and lossy networks (RPL), which is being specified by the IETF ROLL Working Group (WG) [11], and other approaches found in commercial platforms and in the literature [12,13,14,15]. The. EURASIP Journal on Wireless Communications and Networking consideration of link quality as an input to routing has proved to be a powerful approach in IEEE 802.11-based mesh environments [16, 17].

Routing Protocol
Link Quality Estimation in Low-Power Wireless Networks
Radio Hardware-Based Techniques
Link Quality-Based Routing Metrics for Low-Power Wireless Networks
Testbed Description
LQI Experimental Characterization
Experimental Comparison of Routing Metrics
Performance of Routing Metrics in the Presence of Background Traffic
Background traffic configuration
Conclusions and Future Work
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