Please use this identifier to cite or link to this item:
https://doi.org/10.1145/3302506.3310401
DC Field | Value | |
---|---|---|
dc.title | Cross-sender bit-mixing coding | |
dc.contributor.author | H. Yu | |
dc.contributor.author | Y. Zhao | |
dc.contributor.author | Steffen Bondorf | |
dc.contributor.author | Binbin Chen | |
dc.contributor.author | Jonathan Scarlett | |
dc.date.accessioned | 2021-02-01T07:32:04Z | |
dc.date.available | 2021-02-01T07:32:04Z | |
dc.date.issued | 2019-04-16 | |
dc.identifier.citation | H. 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.isbn | 9781450362849 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/186044 | |
dc.description.abstract | Scheduling 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.iso | en | |
dc.publisher | Association for Computing Machinery, Inc | |
dc.source | Scopus | |
dc.subject | Coding | |
dc.subject | Collision | |
dc.subject | Wireless networks | |
dc.type | Conference Paper | |
dc.contributor.department | BIOCHEMISTRY | |
dc.contributor.department | DEPARTMENT OF COMPUTER SCIENCE | |
dc.description.doi | 10.1145/3302506.3310401 | |
dc.description.sourcetitle | IPSN 2019 - Proceedings of the 2019 Information Processing in Sensor Networks | |
dc.description.page | 205 - 216 | |
dc.published.state | Published | |
dc.grant.id | R-252-000-A03-112 | |
dc.grant.fundingagency | Singapore Ministry of Education | |
Appears in Collections: | Staff Publications Elements |
Show simple item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
5. 1807.04449.pdf | 1.3 MB | Adobe PDF | OPEN | Published | View/Download |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.