DocumentCode :
189662
Title :
New approaches in low power and mass payload for Wireless Sensor Networks (WSNs) for lunar surface exploration
Author :
Alvarez, Francisco ; Millen, David ; Rivera, Cayetano ; Benito, Carlos ; Lopez, Jesus ; Fernandez, Diego ; Moreno, Luis ; Lab, Robotics
Author_Institution :
Arquimea Ing. S.L.U, Leganes, Spain
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
726
Lastpage :
729
Abstract :
From dozens up to hundreds of autonomous sensors would create their own ad-hoc Wireless Sensor Network for planetary surface exploration. In order to achieve a realistic cost of the mission it is mandatory to reduce the cost of each individual node, i.e. reducing its mass, volume and power consumption. This will lead to a more advantageous cost/reliability balance. A low mass and low power consumption platform and payload for lunar surface exploration is presented herein with a focus on a novel Dust Deposition Sensor (ultra-low mass sensor/actuator system including tests results) and a Radiation Sensor implemented in a rad-hard mixed signal Application Specific Integrated Circuit (ASIC).
Keywords :
ad hoc networks; cost reduction; electric sensing devices; geophysical prospecting; geophysical techniques; lunar surface; mass measurement; mixed analogue-digital integrated circuits; power measurement; reliability; wireless sensor networks; ASIC; WSN; ad-hoc wireless sensor network; cost reduction; cost-reliability balance; dust deposition sensor; lunar surface exploration; mass sensor; planetary surface exploration; power consumption; power sensor; rad-hard mixed signal application specific integrated circuit; radiation sensor; ultralow mass sensor-actuator system; Application specific integrated circuits; Moon; Optical sensors; Sensor phenomena and characterization; Surface treatment; Wireless sensor networks; WSN; dust sensor; planetary surface exploration platform; radiation sensor; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SENSORS, 2014 IEEE
Conference_Location :
Valencia
Type :
conf
DOI :
10.1109/ICSENS.2014.6985102
Filename :
6985102
Link To Document :
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