@inproceedings{18c8eeb0c14d4a268fd138dc2080e636,
title = "Loss Attitude Aware Energy Management for Signal Detection",
abstract = "This work considers a Bayesian signal processing problem where increasing the power of the probing signal may cause risks or undesired consequences. We employ a market based approach to solve energy management problems for signal detection while balancing multiple objectives. In particular, the optimal amount of resource consumption is determined so as to maximize a profit-loss based expected utility function. Next, we study the human behavior of resource consumption while taking individuals' behavioral disparity into account. Unlike rational decision makers who consume the amount of resource to maximize the expected utility function, human decision makers act to maximize their subjective utilities. We employ prospect theory to model humans' loss aversion towards a risky event. The amount of resource consumption that maximizes the humans' subjective utility is derived to characterize the actual behavior of humans. It is shown that loss attitudes may lead the human to behave quite differently from a rational decision maker.",
keywords = "Loss aversion, prospect theory, resource consumption, sensor networks, signal detection",
author = "Baocheng Geng and Chen Quan and Tianyun Zhang and Makan Fardad and Varshney, {Pramod K.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022 ; Conference date: 31-10-2022 Through 02-11-2022",
year = "2022",
doi = "10.1109/IEEECONF56349.2022.10052103",
language = "English (US)",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "824--828",
editor = "Matthews, {Michael B.}",
booktitle = "56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022",
address = "United States",
}