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McNamara, Liam
Publications (7 of 7) Show all publications
Hermans, F., Wennerström, H., McNamara, L., Rohner, C. & Gunningberg, P. (2014). All is not lost: Understanding and exploiting packet corruption in outdoor sensor networks. In: Wireless Sensor Networks: EWSN 2014. Paper presented at 11th European Conference on Wireless Sensor Networks, Feb 17-19, 2014, Oxford, England (pp. 116-132). Springer Berlin/Heidelberg
Open this publication in new window or tab >>All is not lost: Understanding and exploiting packet corruption in outdoor sensor networks
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2014 (English)In: Wireless Sensor Networks: EWSN 2014, Springer Berlin/Heidelberg, 2014, p. 116-132Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2014
Series
Lecture Notes in Computer Science ; 8354
National Category
Computer Sciences Communication Systems
Identifiers
urn:nbn:se:uu:diva-211736 (URN)10.1007/978-3-319-04651-8_8 (DOI)000340395900008 ()978-3-319-04650-1 (ISBN)
Conference
11th European Conference on Wireless Sensor Networks, Feb 17-19, 2014, Oxford, England
Projects
WISENETProFuN
Available from: 2013-11-29 Created: 2013-11-29 Last updated: 2018-01-11Bibliographically approved
Niroumand, K., McNamara, L., Goguev, K. & Ngai, E. (2014). SADSense: Personalized Mobile Sensing for Seasonal Effects on Health. In: Proc. 13th International Symposium on Information Processing in Sensor Networks: . Paper presented at IPSN 2014 (pp. 295-296). Piscataway, NJ: IEEE Press
Open this publication in new window or tab >>SADSense: Personalized Mobile Sensing for Seasonal Effects on Health
2014 (English)In: Proc. 13th International Symposium on Information Processing in Sensor Networks, Piscataway, NJ: IEEE Press, 2014, p. 295-296Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2014
National Category
Computer Engineering
Identifiers
urn:nbn:se:uu:diva-237666 (URN)10.1109/IPSN.2014.6846770 (DOI)000343592200035 ()978-1-4799-3146-0 (ISBN)
Conference
IPSN 2014
Projects
ProFuN
Available from: 2014-04-15 Created: 2014-12-03 Last updated: 2018-01-11Bibliographically approved
Hermans, F., McNamara, L., Voigt, T., Rohner, C., Ngai, E. & Gunningberg, P. (2014). Supporting Heterogeneous LCD/Camera Links. In: Proc. 13th International Symposium on Information Processing in Sensor Networks: . Paper presented at IPSN 2014 (pp. 289-290). Piscataway, NJ: IEEE Press
Open this publication in new window or tab >>Supporting Heterogeneous LCD/Camera Links
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2014 (English)In: Proc. 13th International Symposium on Information Processing in Sensor Networks, Piscataway, NJ: IEEE Press, 2014, p. 289-290Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2014
National Category
Computer Engineering
Identifiers
urn:nbn:se:uu:diva-237664 (URN)10.1109/IPSN.2014.6846767 (DOI)000343592200032 ()978-1-4799-3146-0 (ISBN)
Conference
IPSN 2014
Projects
WISENET
Available from: 2014-04-15 Created: 2014-12-03 Last updated: 2018-01-11Bibliographically approved
Wennerström, H., McNamara, L., Rohner, C. & Nordén, L.-Å. (2013). A Study of Packet Errors on Outdoor 802.15.4 Links. In: The 9th Swedish National Computer Networking Workshop 2013: . Paper presented at SNCNW 2013.
Open this publication in new window or tab >>A Study of Packet Errors on Outdoor 802.15.4 Links
2013 (English)In: The 9th Swedish National Computer Networking Workshop 2013, 2013Conference paper, Poster (with or without abstract) (Refereed)
National Category
Communication Systems
Identifiers
urn:nbn:se:uu:diva-201323 (URN)
Conference
SNCNW 2013
Projects
CNDSWISENET
Available from: 2013-06-10 Created: 2013-06-10 Last updated: 2018-06-05Bibliographically approved
Wennerström, H., McNamara, L., Rohner, C. & Nordén, L.-Å. (2013). Transmission errors in a sensor network at the edge of the world. In: Proc. 5th Extreme Conference on Communication: . Paper presented at ExtremeCom 2013. New York: ACM Press
Open this publication in new window or tab >>Transmission errors in a sensor network at the edge of the world
2013 (English)In: Proc. 5th Extreme Conference on Communication, New York: ACM Press, 2013Conference paper, Published paper (Refereed)
Abstract [en]

The performance of an outdoor wireless sensor network for remote monitoring is dictated by its ability to deliver sensed data to a sink. The often isolated location means that radio interference is typically low and with different patterns in transmission errors compared to an indoor deployment. To better understand these processes, we investigate packet errors in such a network. Specically, we study characteristics of decoding errors within 802.15.4 transmissions.

We describe the experimental deployment of an outdoor sensor network, located above the Arctic circle, where we log both successfully received and broken packets. Results indicate that a substantial amount of received packets contain errors, where the errors in each packet are typically few. We distinguish between transmission errors and payload errors, and find that transmission errors are equally probable over all positions of a packet, whereas bit errors in the payload are not. This results in some bits having a 25% higher risk of being corrupted than others.

Place, publisher, year, edition, pages
New York: ACM Press, 2013
National Category
Computer Sciences Communication Systems
Identifiers
urn:nbn:se:uu:diva-201447 (URN)978-1-4503-2171-6 (ISBN)
Conference
ExtremeCom 2013
Projects
CNDSWISENET
Available from: 2013-06-11 Created: 2013-06-11 Last updated: 2018-01-11
Rohner, C., Bjurefors, F., Gunningberg, P., McNamara, L. & Nordström, E. (2012). Making the Most of Your Contacts: Transfer Ordering in Data-Centric Opportunistic Networks. In: Proceedings of the 2012 ACM MobiOpp Workshop on Mobile Opportunistic Networks. Paper presented at ACM MobiOpp. Zürich: ACM Press
Open this publication in new window or tab >>Making the Most of Your Contacts: Transfer Ordering in Data-Centric Opportunistic Networks
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2012 (English)In: Proceedings of the 2012 ACM MobiOpp Workshop on Mobile Opportunistic Networks, Zürich: ACM Press, 2012Conference paper, Published paper (Refereed)
Abstract [en]

Opportunistic networks use unpredictable and time-limited con- tacts to disseminate data. Therefore, it is important that protocols transfer useful data when contacts do occur. Specifically, in a data- centric network, nodes benefit from receiving data relevant to their interests. To this end, we study five strategies to select and order the data to be exchanged during a limited contact, and measure their ability to promptly and efficiently deliver highly relevant data.

Our trace-driven experiments on an emulation testbed suggest that nodes benefit in the short-term from ordering data transfers to satisfy local interests. However, this can lead to suboptimal longterm system performance. Restricting sharing based on matching nodes’ interests can lead to segregation of the network, and limit useful dissemination of data. A non-local understanding of other nodes’ interests is necessary to effectively move data across the network. If ordering of transfers for data relevance is not explicitly considered performance is comparable to random, which limits the delivery of individually relevant data. 

Place, publisher, year, edition, pages
Zürich: ACM Press, 2012
National Category
Communication Systems
Identifiers
urn:nbn:se:uu:diva-171587 (URN)
Conference
ACM MobiOpp
Projects
ResumeNet
Available from: 2012-03-22 Created: 2012-03-22 Last updated: 2014-06-30
McNamara, L. & Rohner, C. (2012). Mining Conversations of Geographically Changing Users. In: Proceedings of the World Wide Web 2012 Workshop on Social Web for Disaster (SWDM2012). Paper presented at WWW2012. Lion
Open this publication in new window or tab >>Mining Conversations of Geographically Changing Users
2012 (English)In: Proceedings of the World Wide Web 2012 Workshop on Social Web for Disaster (SWDM2012), Lion, 2012Conference paper, Published paper (Refereed)
Abstract [en]

In recent disaster events, social media has proven to be an effective communication tool for affected people. The corpus of messages contains valuable information about the situation on the ground, needs, and locations of victims. We propose a methodology to extract significant aspects of user discussions to better inform responders and enable an appropriate response.

The methodology combines location/movement based selection of user together with text mining (term frequency inverse document frequency) to identify important topics of conversation in a dynamic geographic network. We further suggest that both topics and movement patterns change during a disaster, which further allows for identification of new trends.

When applied to an area where a disaster has recently occured this approach can provide useful insights into where people are located, where they are going and what they saying during those movements. 

Place, publisher, year, edition, pages
Lion: , 2012
National Category
Communication Systems
Identifiers
urn:nbn:se:uu:diva-171589 (URN)
Conference
WWW2012
Available from: 2012-03-22 Created: 2012-03-22 Last updated: 2012-03-26
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