2026-09-20T09:36:43Zhttps://digital.lib.washington.edu/server/oai/request

oai:digital.lib.washington.edu:1773/470612026-02-16T02:19:29Zcom_1773_4888col_1773_49166

Smith, Joshua Saffari, Ali 2021-07-07T20:01:49Z 2021-07-07 2021 Saffari_washington_0250O_22512.pdf http://hdl.handle.net/1773/47061 Thesis (Master's)--University of Washington, 2021 The vision of ubiquitous battery-free sensing has run into the practical limitations of wireless communication networks. To address this, we design the first wide-area and scalable backscatter network with multiple receivers(RX) and transmitters(TX) base units to communicate with battery-free sensor nodes. Our system circumvents the inherent limitations of backscatter systems - including the limited coverage area, frequency-dependent operability, and sensor node limitations in handling network tasks- by introducing several coordination techniques between the base units starting from a single RX-TX pair to networks with many RX and TX units. We build low-cost RX and TX base units and battery-free sensor nodes with multiple sensing modalities and evaluate the performance of the WideScatter system in various deployments. Our evaluation shows that we can successfully communicate with battery-free sensor nodes across 23400 ft2 of a two-floor educational complex using 5 RX and 20 TXunits, costing $569. Also, we show that the aggregated throughput of the backscatter network increases linearly as the number of RX units and the network coverage grows. application/pdf en_US none Electrical engineering Computer engineering Computer science Electrical engineering WideScatter:Toward Wide Area Battery-Free Wireless Sensor Networks Thesis Delay release for 1 year -- then make Open Access 2022-07-07T20:01:49Z open.access