Abstract
With wireless sensor networks having become a tool of choice for a wide range of measurement and monitoring purposes, precise time synchronization is consequentially gaining prominence. Various protocols and synchronization methods are used to achieve the “sweet spot” amongst the accuracy, synchronization speed, and energy consumption of the network. In this paper, we have evaluated the device and modulation specific packet transmission uncertainty, eliminating all possible protocol related uncertainty sources. We have determined that the transceiver hardware dependent time, taken to transmit and receive the packet, not only depends on the transceiver model, but also highly dependent on the modulation. Moreover, sometimes transmission time distribution does not behave per the standard distribution model and seems to be additionally dependent on the internal processing logic of the device. DOI: http://dx.doi.org/10.5755/j01.eie.23.6.13849
Highlights
Wireless sensor networks (WSN) emerged a decade ago, along with increasing efficiency and popularity of the low power processing units and the low power transmitters
Analysing Wireless Sensor Networks consisting of nodes, using identical hardware, and running similar software stack, synchronization accuracy largely depends on the data protocol
The software had limited us from singling out specific uncertainty source, meaning that both, the transmitter and the receiver, errors were included in the data
Summary
Wireless sensor networks (WSN) emerged a decade ago, along with increasing efficiency and popularity of the low power processing units and the low power transmitters These networks are comprised of individual data gathering devices (nodes) which are spread out in the measurement field and data acquisition devices which are used to collect the data and control the nodes. The protocols have warring degrees of synchronization accuracy, energy efficiency, and error factors. Some of these factors are determinate, while others, sender induced delay [8] in particular, are random. We provide proof that the attempt to determine the nature of the sender induced error and show that they can be evaluated by determining the physical parameters of the transmitter and modulation.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
