TY - GEN
T1 - Energy-efficient analog sensing for large-scale, high-density persistent wireless monitoring
AU - Sadhu, Vidyasagar
AU - Zhao, Xueyuan
AU - Pompili, Dario
N1 - Publisher Copyright: © 2017 IFIP.
PY - 2017/3/28
Y1 - 2017/3/28
N2 - The research challenge of current Wireless Sensor Networks (WSNs) is to design energy-efficient, low-cost, high-accuracy, self-healing, and scalable systems for applications such as environmental monitoring. Traditional WSNs consist of low density, power-hungry digital motes that are expensive and cannot remain functional for long periods on a single charge. In order to address these challenges, a dumb-sensing and smart-processing architecture that splits sensing and computation capabilities among tiers is proposed. Tier-1 consists of dumb sensors that only sense and transmit, while the nodes in Tier-2 do all the smart processing on Tier-1 sensor data. A low-power and low-cost solution for Tier-1 sensors has been proposed using Analog Joint Source Channel Coding (AJSCC). An analog circuit that realizes the rectangular type of AJSCC has been proposed and realized on a Printed Circuit Board for feasibility analysis. A prototype consisting of three Tier-1 sensors (sensing temperature and humidity) communicating to a Tier-2 Cluster Head has been demonstrated to verify the proposed approach. Results show that our framework is indeed feasible to support large scale high density and persistent WSN deployment.
AB - The research challenge of current Wireless Sensor Networks (WSNs) is to design energy-efficient, low-cost, high-accuracy, self-healing, and scalable systems for applications such as environmental monitoring. Traditional WSNs consist of low density, power-hungry digital motes that are expensive and cannot remain functional for long periods on a single charge. In order to address these challenges, a dumb-sensing and smart-processing architecture that splits sensing and computation capabilities among tiers is proposed. Tier-1 consists of dumb sensors that only sense and transmit, while the nodes in Tier-2 do all the smart processing on Tier-1 sensor data. A low-power and low-cost solution for Tier-1 sensors has been proposed using Analog Joint Source Channel Coding (AJSCC). An analog circuit that realizes the rectangular type of AJSCC has been proposed and realized on a Printed Circuit Board for feasibility analysis. A prototype consisting of three Tier-1 sensors (sensing temperature and humidity) communicating to a Tier-2 Cluster Head has been demonstrated to verify the proposed approach. Results show that our framework is indeed feasible to support large scale high density and persistent WSN deployment.
KW - Analog Joint Source Channel Coding
KW - Measurement
KW - Prototype
KW - Sensor Networks
KW - Shannon Mapping
KW - Three-tier Architecture
KW - Wireless Communications
UR - http://www.scopus.com/inward/record.url?scp=85018158160&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018158160&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/WONS.2017.7888773
DO - https://doi.org/10.1109/WONS.2017.7888773
M3 - Conference contribution
T3 - 2017 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017 - Proceedings
SP - 61
EP - 68
BT - 2017 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017 - Proceedings
A2 - Melodia, Tommaso
A2 - Wehrle, Klaus
A2 - Lestas, Marios
A2 - Psounis, Konstantinos
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2017
Y2 - 21 February 2017 through 24 February 2017
ER -