Abstract
We study the problem of data gathering in wireless sensor networks and compare several approaches belonging to different research fields; in particular, signal processing, compressive sensing, information theory, and networking related data gathering techniques are investigated. Specifically, we derived a simple analytical model able to predict the energy efficiency and reliability of different data gathering techniques. Moreover, we carry out simulations to validate our model and to compare the effectiveness of the above schemes by systematically sampling the parameter space (i.e., number of nodes, transmission range, and sparsity). Our simulation and analytical results show that there is no best data gathering technique for all possible applications and that the trade-off between energy consumptions and reliability could drive the choice of the data gathering technique to be used. In this context, our model could be a useful tool.
Highlights
Wireless sensor networks (WSNs) are composed of a lot of tiny, low power, and cheap wireless sensors, deployed in a geographic area to perform distributed tasks, for example, to monitor a physical phenomenon [1]
We assume that EV events randomly occur in a faraway cluster (e.g., CL5 so that h = 4 hops are needed to reach the sink) and that each event is detected by Nm = ρπr2 source nodes
We have compared several data gathering techniques used in WSNs by using both simulation results and analytical models
Summary
Wireless sensor networks (WSNs) are composed of a lot of tiny, low power, and cheap wireless sensors, deployed in a geographic area to perform distributed tasks, for example, to monitor a physical phenomenon [1]. Ordinary wireless sensor nodes, which are capable of transferring processed or raw sensed data to the sink, due to economical reasons, are instead usually powered by small size batteries that in most application scenarios are difficult or even impossible to replace or recharge. In contrast to many other wireless devices (e.g., cellular phones, PDAs, and laptops), usually it is not expected to renew the energy supplied to a wireless sensor node during the life of the WSN. For this reason, each sensor node is required to work under very low power consumption conditions
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 callMore From: International Journal of Distributed Sensor Networks
Disclaimer: 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.
