NDLI: Evaluation of body sensor network platforms: a design space and benchmarking analysis

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Evaluation of body sensor network platforms: a design space and benchmarking analysis

Content Provider	ACM Digital Library
Author	Gupta, Sandeep K. S. Banerjee, Ayan Nabar, Sidharth Poovendran, Radha
Abstract	Body Sensor Networks (BSNs) consist of sensor nodes deployed on the human body for health monitoring. Each sensor node is implemented by interfacing a physiological sensor with a sensor platform consisting of components such as microcontroller, radio and memory. Diverse needs of BSN applications require customized platform development for optimizing performance. In this paper, we propose a two-phase framework to evaluate the performance of sensor platforms to match a BSN's computation, communication and sensing requirements: 1) Design Space Determination, wherein we investigate salient features of BSN platforms and quantify them as design coordinates through evaluation metrics such as SPSW (Samples Processed per Second per Watt) and EPC (Expected Power Consumption). To measure these metrics for a platform under typical BSN application workloads, we propose BSN-Bench, a benchmarking suite composed of basic tasks that occur in diverse BSN applications. BSNBench enables an accurate profiling of platforms based on the design coordinates; 2) Design Space Exploration, wherein we explore the design space to find the most suitable platform for a given application. We demonstrate the usage of our framework through a case study, where we consider two practical BSN applications and choose suitable platforms for them.
Starting Page	118
Ending Page	127
Page Count	10
File Format	PDF
ISBN	9781605589893
DOI	10.1145/1921081.1921096
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-10-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Design space Body sensor networks System performance Benchmark Wearable bsns Hardware systems
Content Type	Text
Resource Type	Article

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