Trading Digital Accuracy for Power in an RSSI Computation of a Sensor Network Transceiver
conference paper
To handle the rigid power and energy constraints in the Digital BaseBand (DBB) of Wireless Sensor Networks (WSN)s, we introduce approximate computing as a new power reduction method. The Received Signal Strength Indicator (RSSI) computation is a key element in DBB processing. We evaluate the trade-off in RSSI computation between Quality-of-Service (QoS) and power consumption through circuit-level approximation. RSSI elements are approximated in such a way that error propagation is minimized. In an industrial 40-nm CMOS technology, substantial energy savings up to 24% are achieved for every successfully transferred bit in DBB processing in a low- power listening WSN scenario.
TNO Identifier
867422
ISBN
9783981926323
Publisher
Institute of Electrical and Electronics Engineers IEEE
Article nr.
8715146
Source title
Proceedings of the 22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, 25-29 March 2019, Florence, Italy
Collation
7 p.
Pages
102-107
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