[??] Felisa Vazquez-Abad, Pinhus Dashevsky, and Matthew P. Johnson. LP-Based Approaches to Stationary-Constrained Markov Decision Problems. WODES 2014, Paris, France, May 2014. [ pdf ]
[25] M.P. Johnson, D. Sarioz, A. Bar-Noy, T. Brown, D. Verma, and C.W. Wu. More is more: robust and efficient coverage in denser sensor deployment. IEEE Transactions on Sensor Networks, Vol. 8, Iss. 3, August, 2012. [ pdf ]
[24] M.P. Johnson, A. Bar-Noy, O. Liu, Y. Feng. Energy peak shaving with local storage. Sustainable Computing. To appear. [ pdf ]
[23] M.P. Johnson and A. Bar-Noy. Pan and scan: configuring cameras for coverage. IEEE INFOCOM 2011 (acceptance rate: 15.96%), Shanghai, China, April, 2011. [ pdf ]
[22] Y. Alayev, A. Bar-Noy, M.P. Johnson, L. Kaplan, T. La Porta. You can't get there from here: sensor scheduling with refocusing delays. IEEE MASS 2010 (acceptance rate: 27.6%), San Francisco, CA, November, 2010.
[21] F. Chen, M.P. Johnson, Y. Alayev, A. Bar-Noy, and T. La Porta. Who, when, where: timeslot assignment to mobile clients. IEEE Transactions on Mobile Computing, Vol. PP, Iss. 99, February, 2011.
[20] M.P. Johnson, H. Rowaihy, D. Pizzocaro, A. Bar-Noy, S. Chalmers, T. La Porta, and A. Preece. Sensor-mission assignment in constrained environments. IEEE Transactions on Parallel and Distributed Systems, Vol. 2, Iss. 11, November, 2010. [ pdf ]
[19] H. Rowaihy, M.P. Johnson, O. Liu, A. Bar-Noy, T. Brown, and T. La Porta. Sensor-mission assignment in wireless sensor networks. ACM Transactions on Sensor Networks, Vol. 6, No. 4, 2010. [ pdf ]
[18] F. Chen, M.P. Johnson, Y. Alayev, A. Bar-Noy, and T. La Porta. Who, when, where: timeslot assignment to mobile clients. In MASS 2009. [ pdf ]
[17] F. Chen, M.P. Johnson, A. Bar-Noy, I. Fermin, and T. La Porta. Proactive data dissemination to mission sites. In SECON 2009. [ bib | pdf ]
[16] A. Bar-Noy, T. Brown, M.P. Johnson, and O. Liu. Cheap or flexible sensor coverage. In DCOSS 2009. [ bib ]
[15] H. Rowaihy, M.P. Johnson, D. Pizzocaro, A. Bar-Noy, L. Kaplan, T. La Porta, and A. Preece. Detection and localization sensor assignment with exact and fuzzy locations. In DCOSS 2009. [ bib | pdf ]
[14] S. Eswaran, M. P. Johnson, A. Misra, and T. La Porta. Adaptive in-network processing for bandwidth and energy constrained mission-oriented multi-hop wireless networks. In DCOSS 2009. [ bib ]
[13] M.P. Johnson, D. Sarioz, A. Bar-Noy, T. Brown, T. La Porta, D. Verma, and C.W. Wu. More is more: robust and efficient coverage in denser sensor deployment. In INFOCOM 2009. [ bib | pdf ]
[12] S. Eswaran, M.P. Johnson, A. Misra, and T. La Porta. Distributed utility-based rate adaptation protocols for prioritized, quasi-elastic flows. ACM SIGMOBILE Mobile Computing and Communications Review (MC2R), 13(1), January 2009. [ bib | pdf ]
[11] A. Bar-Noy, M.P. Johnson, and O. Liu. Peak shaving through resource buffering. In WAOA 2008. [ bib | pdf | slides ]
[10] H. Rowaihy, M.P. Johnson, T. Brown, A. Bar-Noy, and T. La Porta. Assigning sensors to competing missions. In GLOBECOM 2008. [ bib ]
[9] H. Rowaihy, M.P. Johnson, S. Eswaran, D. Pizzocaro, A. Bar-Noy, T. La Porta, A. Misra, and A. Preece. Utility-based joint sensor selection and congestion control for task-oriented WSNs. In The 2008 Asilomar Conference on Signals, Systems, and Computers.
[8] M. Gomez, A. Preece, M.P. Johnson, G. de Mel, W. Vasconcelos, C. Gibson, A. Bar-Noy, K. Borowiecki, T. La Porta, D. Pizzocaro, H. Rowaihy, G. Pearson, and T. Pham. An ontology-centric approach to sensor-mission assignment. In EKAW 2008. [ bib | pdf ]
[7] M.P. Johnson, H. Rowaihy, D. Pizzocaro, A. Bar-Noy, S. Chalmers, T. La Porta, and A. Preece. Frugal sensor assignment. In DCOSS 2008. [ bib | slides | pdf ]
[6] A. Bar-Noy, M.P. Johnson, Y. Feng, and O. Liu. When to reap and when to sow: lowering peak usage with realistic batteries. In WEA 2008. [ bib | slides | pdf ]
[5] M.P. Johnson and R. Parikh. Probabilistic conditionals are almost monotonic. Review of Symbolic Logic, Vol. 1, No. 1, June 2008. [ bib | pdf ]
[4] A. Bar-Noy, T. Brown, M.P. Johnson, T. La Porta, O. Liu, and H. Rowaihy. Assigning sensors to missions with demands. In ALGOSENSORS 2007. Springer LNCS 4837. [ bib ]
[3] M.P. Johnson and A.P. Kosoresow. Lower Bounds via Worst-Case Instances via Genetic Algorithms. World Scientific, 2004. [ bib ]
[2] M.P. Johnson and A.P. Kosoresow. Finding worst-case instances, and lower bounds, for np-complete problems using genetic algorithms. Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning, 2002. [ bib ]
[1] A.P. Kosoresow and M.P. Johnson. Finding worst-case instances of, and lower bounds for, online algorithms using genetic algorithms. AI 2002: Advances in Artificial Intelligence: 15th Australian Joint Conference on Artificial Intelligence, Proceedings. LNAI 2557, 2002. [ bib ]