Low power wake-up receiver based on ultrasound communication for wireless sensor network

Abstract

Wireless sensor network (WSN) consists of base stations and sensors nodes to monitor physical and environmental conditions. Power consumption is a challenge in WSN due to activities of nodes. High power consumption is required for the main transceiver in WSN to receive communication requests all the time. Hence, a low power wake-up receiver is needed to minimize the power consumption of WSN. In this work, a low power wake-up receiver using ultrasound data communication is designed. Wake-up receiver is used to detect wake-up signal to activate a device in WSN. Functional block modelling of the wake-up receiver is developed in Silterra CMOS 130nm process technology. The performance of the wake-up receiver has been analyzed and achieving low power consumption which is 22.45μW. A prototype to demonstrate a wireless sensor node with wake-up receiver has been developed incorporating both ultrasonic and RF for internal and external communication respectively. We achieve 99.97% of power saving for 10s operation in the experimental setup for the WSN with and without wake-up receiver. Wake-up receiver used in WSN save power and prolong the lifetime of batteries and thus extending the operational lifetime of WSN.

Secured node detection technique based on artificial neural network for wireless sensor network

“…Firstly, normal analysis when some of the selected nodes are exposed to be unsecured by eliminating the security mechanism over them. The selected nodes are nodes number (11,14,20,22,25,30). The second sector focus on implementing an artificial neural network system using MATLAB simulator.…”

“…For example, the highest difference of PDR is occurred at node 2 by 91.66% and the lowest PDR at -216% at node 15. Moreover, the PDR values at unsecured nodes are 90.83%, 33.33%, 20.83 %, 8.3%, 16.66%, and 70.83% for nodes 11,14,20,22,25,30, respectively. The variations in PDR at these nodes when all nodes are secured and some are unsecured are 55.2%, 42.85%, 58.88%, 71.42%, 33.33%, and 10.52%.…”

“…Besides, the unsecured condition makes significant variations in energy consumption, so it is used as a second input in designing the ANN to detect the unsecured nodes in WSN. Moreover, the energy consumption values at unsecured nodes are 12.107 mw, 19.885 mw, 22.023 mw, 5.415 mw, 11.913 mw, and 9.825 mw for nodes 11,14,20,22,25,30, respectively. The variations in energy consumption at these nodes when all nodes are secured and some are unsecured are -60.16%, -44.55%, -115.17%, 31.56%, 28.07%, and 5.1%.…”

“…Nodes are supplied with batteries that cannot be recharged or replaced in the field of operation [10][11][12] lifetime. Nowadays, WSN has numerous applications in military, health and environmental areas due to ease of use and having the ability to withstand harsh environmental conditions [13][14][15]. These networks are self-administered networks in which nodes are self-organized to have reliable communication between them.To have secure communication among various self-organized nodes, security issues are of main concern.…”

On-chip ultra low power optical wake-up receiver for wireless sensor nodes targeting structural health monitoring

“…According to previous research work, traditionally RF solutions exhibits high standby power which is more than 10μW. The ultrasound wake-up receiver [4][5][6][7] is much lower power consumption and smaller size compared to the radio frequency technique. However, the sensing accuracy of ultrasound wake-up receiver will be affected by soft or curved materials due to the difficulties in reading reflections from the material [8].…”