Chang, StephenKirsch, AdamLyons, Michael John2016-02-252007Chang, Stephen, Adam Kirsch, Michael Lyons. 2007. Energy and Storage Reduction in Data Intensive Wireless Sensor Network Applications. Harvard Computer Science Group Technical Report TR-15-07.http://nrs.harvard.edu/urn-3:HUL.InstRepos:25620450Recording large data sets in current wireless sensor networks is difficult if not impossible, as sensor network nodes feature extremely limited capabilities. Meager amounts of memory limit storage and slow network transmission rates limit data transfer. Even if enough data is recorded, network lifetime may be brief due to energy consumption. In this paper, we discuss using Bloom filters to reduce the memory and network transmission requirements for sending or storing large amounts of data. Using our approach, we can gather more information from our wireless sensor network and simultaneously extend the network lifetime.en-USResearch Paper or Report2016-02-25