
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
SenseLE: Exploiting Spatial Locality in Decentralized Sensing Environments
Generally, smart devices, such as smartphones, smartwatches, or fitness trackers, communicate with each other indirectly, via cloud data centers. Sharing sensor data with a cloud data center as intermediary invokes transmission methods with high battery costs, such as 4G LTE or WiFi. By sharing sensor information locally and without intermediaries, we can use other transmission methods with low energy cost, such as Bluetooth or BLE. In this paper, we introduce Sense Low Energy (SenseLE), a decentralized sensing framework which exploits the spatial locality of nearby sensors to save energy in Internet-of-Things (IoT) environments. We demonstrate the usability of SenseLE by building a real-life application for estimating waiting times at queues. Furthermore, we evaluate the performance and resource utilization of our SenseLE Android implementation for different sensing scenarios. Our empirical evaluation shows that by exploiting spatial locality, SenseLE is able to reduce application response times (latency) by up to 74% and energy consumption by up to 56%.
- Vrije Universiteit Amsterdam Netherlands
- Free University of Amsterdam Pure VU Amsterdam Netherlands
Mobile computing, Control and Optimization, Ad hoc data sharing, Computer Networks and Communications, Device to device communication, Internet of Things, Distributed sensing, Computer Science Applications, Energy efficiency, Android, Hardware and Architecture, Bluetooth Low Energy, SDG 7 - Affordable and Clean Energy, Information Systems
Mobile computing, Control and Optimization, Ad hoc data sharing, Computer Networks and Communications, Device to device communication, Internet of Things, Distributed sensing, Computer Science Applications, Energy efficiency, Android, Hardware and Architecture, Bluetooth Low Energy, SDG 7 - Affordable and Clean Energy, Information Systems
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
