Abstract

Battery consumption is a key aspect in the performance of wireless sensor networks. One of the most promising technologies for this type of networks is 802.15.4/ZigBee. This paper presents an empirical characterization of battery consumption in commercial 802.15.4/ZigBee motes. This characterization is based on the measurement of the current that is drained from the power source under different 802.15.4 communication operations. The measurements permit the definition of an analytical model to predict the maximum, minimum and mean expected battery lifetime of a sensor networking application as a function of the sensor duty cycle and the size of the sensed data.

Highlights

  • The IEEE 802.15.4 standardand ZigBee [2] jointly specify a protocol stack for the development of short-range and low power communications for Wireless Personal Area Networks (WPANs)

  • In the case of MC1322x motes the main difference lies in the fact that, during the CSMA waits, the transceiver seems to remain in an idle state that permits the consumption to be reduced

  • The 802.15.4/ZigBee protocols are a promising technology in the ambit of low-power sensor networking

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Summary

Introduction

The IEEE 802.15.4 standard (which describes the Physical Layer and Medium Access Control [1]). ZigBee [2] jointly specify a protocol stack for the development of short-range and low power communications for Wireless Personal Area Networks (WPANs). (1) Under the non beacon-enabled or point-to-point mode, the access control is governed by non-slotted CSMA/CA (Carrier Sense Multiple Access/Collision Avoidance) According to this medium access protocol, nodes have to sense the radio medium before starting any transmission. Non-beacon mode typically suits basic applications which can be deployed by a simple star topology formed by a set of wireless sensors and a Coordinator powered from the main source. At present most commercial 802.15.4/ZigBee motes do not support beacon mode, so in this paper, the empirical characterization and the analytical model of battery consumption will be focused on beaconless networks

Related Work
Experimental Testbed
Measurement Testbed
Consumption during Start-up
Consumption during the Association to the Coordinator
Consumption during Packet Transmission
Consumption due to Loss of Connection
Consumption during Sleep-Mode
Estimation of the Battery Lifetime
Best case
Worst Case
Average Case
Effect of the Node Re-Association on Power Consumption
Conclusions
38. MC1322x
Full Text
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