TOPIC Query-based Sensors Selection for Collaborative Wireless Sensor Networks with Stochastic Energy Harvesting 
AREA Communications & Networks  
SPEAKER Dr Ido Nevat, Institute for Infocomm Research (I2R), A*STAR, Singapore 
DATE 2 September 2016, Friday 
TIME 10.00am to 11.00am 
VENUE E5-03-21, ECE Seminar Room, Engineering Block E5, NUS 
FEES No Charge 

We develop a statistical decision making framework to choose the optimal sub-set of sensors to activate from a set of all possible sensors, while meeting various Quality of Service (QoS) criteria specified by both the network’s operator as well as user’s queries. The sensor nodes are powered solely by energy harvested from the environment and should be activated in an efficient and economical manner based on the available battery energy, which may not directly observed by the decision maker. Our decision making framework consists of two aspects: estimation of the current available energy of each of the sensors; and a sensor activation policy. To this end, we develop a
framework based on ruin theory, where the key metric is maximizing the probability that the network’s lifetime exceeds a fixed time period. We then develop an efficient algorithm to perform the sensor selection which is based on the Cross Entropy method. 

Ido Nevat received the B.Sc in Electrical Engineering from the Technion, Israel Institute of Technology in 1998, and the Ph.D. in Electrical Engineering from UNSW in 2010. From 2010 to 2013 he was a research fellow at the ICT Centre at the CSIRO in Sydney, Australia. Ido is currently the leader of the Statistical Modelling group at I2R. Ido''s research interests are statistical modelling, statistical signal processing, wireless communications and sensor networks. 

Host: Assoc. Professor THAM Chen Khong 

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