Ordered Transmission For Efficient Wireless Autonomy
2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS(2018)
摘要
Collaborative autonomous systems may rely on wireless communications in dynamic settings. Fundamental to these systems is collaborative decision making, gathering evidence and efficiently producing a joint decision. In many applications fast decision cycles are required and the speed of decision limits the overall system performance. In this paper we develop and analyze a binary hypothesis testing approach using ordered transmission with K <= N, where N is the number of sensors and K is the number of transmissions to a fusion center. By ordering the local likelihoods the most informative local statistics are transmitted first. Our analysis, using properties of order statistics, characterizes the test and reveals tradeoffs between K and N. This provides a flexible scheme for quick collaborative decision making, with as few as K = 1 transmissions, and enables nontraditional tradeoffs by increasing N while keeping K small. The results can be applied to a variety of distributed decision applications.
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关键词
nontraditional tradeoffs,fast decision cycles,wireless autonomy,collaborative decision making,collaborative autonomous systems,distributed decision applications,order statistics,informative local statistics,fusion center,ordered transmission,binary hypothesis,wireless communications
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