Paper Info
Title
Understanding the Impact of Circuit-Level Inaccuracy on Sensor Network Performance.
Abstract
Energy efficiency is of paramount importance in designing lowpower wireless sensor nodes. Approximate computing is a new circuit-level technique for reducing power consumption. However, the gain in power by applying this technique is achieved at the cost of computational errors. The impact of such inaccuracies in the circuit level of a radio transceiver chip on the performance of Wireless Sensor Networks (WSNs) has not yet been explored. The applicability of such low-power chip design techniques depends on the overall energy gain and their impact on the network performance. In this paper, we analyze various inaccuracy fields in a radio chip, and quantify their impact on the network performance, in terms of packet latency, goodput, and energy per bit. The analysis is supported by extensive network simulations. The outcome can be used to investigate in which WSN application scenarios such power reduction techniques at circuit level can be applied, given the network performance and energy consumption requirements.
Year
DOI
Venue
2018
10.1145/3243046.3243062
MSWIM '18: 21st ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems Montreal QC Canada October, 2018
Keywords
Field
DocType
QoS provisioning in wireless and mobile networks, Sensor and actuator networks, approximate computing
Wireless,Computer science,Efficient energy use,Network packet,Network simulation,Electronic engineering,Goodput,Energy consumption,Wireless sensor network,Network performance,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-5961-0
1
0.40
References 
Authors
7
5
Name
Order
Citations
PageRank
Paul Detterer110.73
Cumhur Erdin210.73
Majid Nabi36611.65
Twan Basten41833132.45
Hailong Jiao5486.32