Please use this identifier to cite or link to this item: https://doi.org/10.1145/3302506.3310401
DC FieldValue
dc.titleCross-sender bit-mixing coding
dc.contributor.authorH. Yu
dc.contributor.authorY. Zhao
dc.contributor.authorSteffen Bondorf
dc.contributor.authorBinbin Chen
dc.contributor.authorJonathan Scarlett
dc.date.accessioned2021-02-01T07:32:04Z
dc.date.available2021-02-01T07:32:04Z
dc.date.issued2019-04-16
dc.identifier.citationH. Yu, Y. Zhao, Steffen Bondorf, Binbin Chen, Jonathan Scarlett (2019-04-16). Cross-sender bit-mixing coding. IPSN 2019 - Proceedings of the 2019 Information Processing in Sensor Networks : 205 - 216. ScholarBank@NUS Repository. https://doi.org/10.1145/3302506.3310401
dc.identifier.isbn9781450362849
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/186044
dc.description.abstractScheduling to avoid packet collisions is a long-standing challenge in networking, and has become even trickier in wireless networks with multiple senders and multiple receivers. In fact, researchers have proved that even perfect scheduling can only achieve R = O(ln1N ). Here N is the number of nodes in the network, and R is the medium utilization rate. Ideally, one would hope to achieve R = Θ(1), while avoiding all the complexities in scheduling. To this end, this paper proposes cross-sender bit-mixing coding (BMC), which does not rely on scheduling. Instead, users transmit simultaneously on suitably-chosen slots, and the amount of overlap in different user’s slots is controlled via coding. We prove that in all possible network topologies, using BMC enables us to achieve R = Θ(1). We also prove that the space and time complexities of BMC encoding/decoding are all low-order polynomials.
dc.language.isoen
dc.publisherAssociation for Computing Machinery, Inc
dc.sourceScopus
dc.subjectCoding
dc.subjectCollision
dc.subjectWireless networks
dc.typeConference Paper
dc.contributor.departmentBIOCHEMISTRY
dc.contributor.departmentDEPARTMENT OF COMPUTER SCIENCE
dc.description.doi10.1145/3302506.3310401
dc.description.sourcetitleIPSN 2019 - Proceedings of the 2019 Information Processing in Sensor Networks
dc.description.page205 - 216
dc.published.statePublished
dc.grant.idR-252-000-A03-112
dc.grant.fundingagencySingapore Ministry of Education
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