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Textbook

 

• Notes: Channel models

Digital communications, channel models & physical-layer issues

• Wireless communications. Andrea Goldsmith, Cambridge, UK: Cambridge University Press, 2005.

Wireless data access, IEEE 802.11b  & wireless MAC protocols

• LTE standard.
• 802.11 Wireless Networks, The definitive guide. Matthew S. Gast, O'Reilly, 2002.
• Wireless Medium Access Control Protocols, IEEE Communications Surveys, 2000.
  
• Wireless Communications Principles and Practice by Theodore S. Rappaport, Prentice Hall (Second Edition).
• Applied Cryptography, by Bruce Schneier, Wiley (Second Edition), ISBN 0-471-12845-7.
  
• A Technical Tutorial on the IEEE 802.11 Protocol, by Pablo Brenner (Director of Engineering, BreezeCom)
• IEEE802.11: A technical Overview , by Pablo Brenner (Director of Engineering, BreezeCom)
• Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications
• Dynamic Tuning of the IEEE 802.11 Protocol to Achieve a Theoretical Throughput Limit. F. Calm, M. Conti, E. Gregori, IEEE/ACM Transactions on Networking, vol. 8, no. 6, 2000.
• Performance Anomaly of 802.11 b M Heusse, F Rousseau, G Berger-Sabbatel, A Duda - IEEE INFOCOM, 2003.
  
• A Mathematical Theory of Communication C.E. Shannon - The Bell System Technical Journal, 1948
  
• Performance of Reliable Transport Protocol over IEEE802.11 Wireless LAN: Analysis and Enhancement . H. Wu, Y. Peng, K. Long, S. Cheng, J. Ma
  
• A Comparison of Mechanisms for Improving TCP Performance over Wireless Links, H. Balakrishnan, V. Padmanabhan, S. Seshan, R. Katz, Sigcomm 1996.
  

5G & mmWaves

• A Survey of 5G Network: Architecture and Emerging Technologies. IEEE Access, 2015.
• Next Generation 5G Wireless Networks: A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 2016.
• WiFED: WiFi Friendly Energy Delivery with Distributed Beamforming. IEEE Infocom Best Paper Award, 2018.
• Application of Non-Orthogonal Multiple Access in LTE and 5G Networks. IEEE Communications Magazine, 2019.

Internet of Things

• Integration of Cloud computing and Internet of Things. Future Generation Computer Systems, 2016.
• A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications. IEEE Internet of Things Journal, 2017.
• Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges . IEEE Access, 2017.
• Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios . IEEE Wireless Communications, 2016.
• A Primer on 3GPP Narrowband Internet of Things. IEEE Network, 2018.

Edge Computing

• Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing . IEEE Communications Magazine, 2017.
• A Survey on Mobile Edge Computing: The Communication Perspective. IEEE Communications Surveys & Tutorials, 2017.
• SkyCore: Moving Core to the Edge for Untethered and Reliable UAV-based LTE. INFOCOM Best Paper Award, 2018.

LoRa networks

• A Study of LoRa: Long Range & Low Power Networks for the Internet of Things. MDPI Sensors, 2016.
• Low Power Wide Area Network Analysis: Can LoRa Scale?. IEEE Wireless Communications Letters, 2017.
• Evaluation of LoRa and LoRaWAN for wireless sensor networks . IEEE SENSORS, 2016.

Sensor Networks

• Wireless sensor networks for healthcare: A survey. ACM Computer Networks, 2010.
• Evolution of wireless sensor networks towards the Internet of Things: A survey. IEEE SoftCOM, 2011.
• Data Gathering Optimization by Dynamic Sensing and Routing in Rechargeable Sensor Networks. IEEE/ACM Transactions on Networking, 2016.
• SDN-WISE: Design, prototyping and experimentation of a stateful SDN solution for WIreless SEnsor networks. IEEE INFOCOM, 2015.

Cognitive Radios

• Symbol-level network coding for wireless mesh networks. S. Katti, D. Katabi, H. Balakrishnan and M. Medard - ACM SIGCOMM 2008.
  
• ZigZag Decoding: Combating Hidden Terminals In Wireless Networks. S. Gollakota, D. Katabi, ACM SIGCOMM 2008.
  
• What's Going On? Learning Communication Rules In Edge Networks. S. Kandula, R. Chandra, D. Katabi, ACM SIGCOMM 2008.
  
• Learning to share: narrowband-friendly wideband networks. H. Rahul, D. Katabi, F. Edalat, ACM SIGCOMM 2008.
  
• Echos-enhanced capacity 802.11 hotspots. A. Vasan, R. Ramjee, T. Woo, IEEE INFOCOM 2005.
  
• A Survey of Dynamic Spectrum Access. Q. Zhao, B. Sadler.
  
• Spectrum Access Games and Strategic Learning in Cognitive Radio Networks for Delay-Critical Applications. M. Van Der Schaar, F. Fu.
  
• Future Directions in Cognitive Radio Network Research. P. Steenkiste, D. Sicker, G. Minden, D. Raychaudhuri
  
• Rayleigh Fading Channels In Mobile Digital Communication Systems. Part I: Characterization , B. Sklar
  
• Game theory for cognitive radio networks: An overview, B. Wang, Y. Wu, K.J. Ray Liu
  
• Cognitive MIMO Radio. G. Scutari, D. Palomar, S. Barbarossa

Access Point Selection

• The need for cross-layer information in AP selection algorithms. K. Sundaresan, K. Papagiannaki, IMC 2006.
  
• Dynamic Load Balancing through coordinated scheduling in packet data systems . S. Das, H. Viswanathan, G. Rittenhouse, IEEE Infocom 2003.
  
• Facilitating Access Point Selection in IEEE802.11 Wireless Networks. S. Vasudevan , K. Papagiannaki, C. Diot, J. Kurose and D. Towsley, USENIX 2005.
  
• IEEE 802.11 Hot Spot Load Balance and QoS-Maintained Seamless Roaming. Tzu-Chieh Tsai, Chih-Feng Lien.
  

Signals

• HY431 Fourier Transform + Sampling
  

User mobility pattern

• LeZi-update: an information-theoretic framework for personal mobility tracking in PCS networks. A. Bhattacharya. S. Das, Wireless Networks, 2002.
• Intersystem Location Update and Paging Schemes for Multitier Wireless Networks. W. Wang, I. Akyildiz, 6th Annual International Conference on Mobile Computing and networking (MobiCom), 2000.

Energy conservation, consumption and measurements

• QoS Aware Power Save Protocol for Wireless Ad Hoc Networks Laura Feeney.
• Investigating the Energy Consumption of a Wireless Network Interface in an Ad Hoc Networking Environment. Laura Feeney, Martin Nilsson, IEEE Infocom 2000.
  
• A power control MAC protocol for ad hoc networks. Eun-Sun Jung, Nitin H. Vaidya, MobiCom 2002.
• Span: An Energy efficient coordination algorithm for topology maintanance in wireless ad hoc networks Benjie Chen et al.
  
• Distributed Energy-conserving Routing Protocols for Sensor Networks. Qun Li, Javed Aslam, Daniela Rus.
  
• Application-driven power management for mobile communication. Robin Kravets, P. Krishnan.
  
• Converting Signal Strength Percentage to dBm Values, Joe Bardwell, VP of Professional Services
  
• A survey of energy efficient network protocols for wireless networks. C. E. Jones, K. M. Sivalingam, P. Agrawal, and J. C. Chen, Wireless Networks, 7(4):343--358, July 2001.
  
• Power management techniques for mobile communication, R. Kravets, P. Krishnan

Routing protocols for ad hoc networks and Mobile IP

• A Review of Current Routing Protocols for Ad-Hoc Mobile Wireless Networks, Elizabeth M. Royer and C.-K. Toh, IEEE Personal Communications Magazine, April 1999, 46-55.
  
• DSR: The Dynamic Source Routing Protocol for Multi-Hop Wireless Ad Hoc Networks. David B. Johnson, David A. Maltz, Josh Broch.
  
• A Performance Comparison of Multi-Hop Wireless Ad Hoc Network Routing Protocols. Josh Broch, David A. Maltz, David B. Johnson, Yih-Chun Hu, Jorjeta Jetcheva. MobiCom'98, Dallas, Texas. October 25-30, 1998.
  
• Location-aided routing (LAR) in mobile ad hoc networks. Y. Ko and N.H. Vaidya, MobiCom 1998.
  
• Mobile Networking Through Mobile IP. Charles E. Perkins, IEEE Internet Computing, 2(1)58-69, 1998.
  
• Topology Control and Routing in Ad hoc Networks: A Survey. Rajmohan Rajaraman. ACM SIGACT News, Vol 33, Issue 2, 2002
  
• Multihop Ad Hoc Networking: The Theory. M. Conti, S. Giordano
  
• Features in Future: 4G Visions From a Technical Perspective. J. Sun, J. Sauvola, D. Howie, Globecom 2001
  
• Beyond 3G: 4G IP-based Mobile Networks. D. O'Mahony, L. Doyle

Location-sensing systems

• GPS-less Low Cost Outdoor Localization For Very Small Devices. Nirupama Bulusu, John Heidemann, Deborah Estrin.
  
• The Cricket Compass for Context-Aware Mobile Applications. Nissanka B. Priyantha, Allen Miu, Hari Balakrishnan, Seth Teller, Mobicom, 2001.
  
• Enhancements to the RADAR User Location and Tracking System. P. Bahl, V. N. Padmanabhan, A. Balachandran, February 2000, Technical Report MSR-TR-2000-12.
  
• Practical Robust Localization over Large-Scale 802.11 Wireless Networks. Andreas Haeberlen, Eliot Flannery, Andrew M. Ladd, Algis Rudys, Dan S. Wallach, Lydia E. Kavraki, Mobicom 2004.
  
• Challenges: Device-free Passive Localization for Wireless Environments, M. Youssef, M. Mah, A. Agrawala, Mobicom 2007.

Sensors, RF tags and sensor networks

• Next Century Challenges: Scalable Coordination in Sensor Networks. D. Estrin, R. Govindan, J. Heidemann, S. Kumar, 5th Annual International Conference on Mobile Computing and Networks (MobiCOM '99), 1999.
  
• Data-centric storage in Sensornets. S. Ratnasamy, D. Estrin, R. Govindan, B. Karp, S. Shenker, L. Yin, F. Yu.. 1st Workshop on Sensor Networks and Applications (WSNA), 2002.
  
• Locating tiny sensors in time and space: A case study. L. Girod, V. Bychkovskiy, J. Elson, D. Estrin, International Conference on Computer Design (ICCD 2002), 2002.
  
• Wireless Sensor Networks: A Survey. I. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci
  
• Physics behind different sensors and actuators.
  
• FAQ on RF tags.
  
• An Overview on RFID Technology Instruction and Application. F. Chetouane, IFAC-PapersOnLine, vol. 48, issue 3, 2015.
• A wireless body area sensor network based on stretchable passive tags. S. Niu, N. Matsuhisa, L. Beker et al., Nature Electronics, vol. 2, 361–368, 2019.

AR / wireless

• Cosmos pilot system and sandbox (released for general use).
• Smart City Intersections project
• Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds. W. Zhang, S. Li, L. Liu, Z. Jia, Y. Zhang, D. Raychaudhuri, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, 2019.
• EdgeDrive: Supporting Advanced Driver Assistance Systems using Mobile Edge Clouds Networks. S. Maheshwari, W. Zhang, I. Seskar, Y. Zhang and D. Raychaudhuri, IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2019.
• Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering. L. Liu, R. Zhong, W.Zhang, Y. Liu, J. Zhang, Z. Lintao, M. Gruteser, Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '18), 2018.
• Challenge: COSMOS: A city-scale programmable testbed for experimentation with advanced wireless. D. Raychaudhuri, I. Seskar, G. Zussman, T. Korakis, D. Kilper, T. Chen, J. Kolodziejski, M. Sherman, Z. Kostic, X. Gu, H. Krishnaswamy, S. Maheshwari, P. Skrimponis, and C. Gutterman, Proceedings of the 26th Annual International Conference on Mobile Computing and Networking (MobiCom), 2020.
• Traffic-Aware Dynamic Container Migration for Real-Time Support in Mobile Edge Clouds. S. Maheshwari, S. Choudhury, I. Seskar and D. Raychaudhuri, 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2018.
• NOVN: named-object based virtual network architecture. F. Bronzino, S. Maheshwari, I. Seskar, D. Raychaudhuri, 20th International Conference on Distributed Computing and Networking (ICDCN), 2019.
• Scalability and Performance Evaluation of Edge Cloud Systems for Latency Constrained Applications. S. Maheshwari, D. Raychaudhuri, I. Seskar, F. Bronzino, 2018 IEEE/ACM Symposium on Edge Computing (SEC), 2018.

Sensor measurement analysis in health care

• Automated seizure detection systems and their effectiveness for each type of seizure (A Review), A. Ulate-Campos, F. Coughlin, M. Gaínza-Lein, I. Sánchez Fernández, P.L. Pearl, T. Loddenkemper, Seizure, Volume 40, 2016.
• Review on psychological stress detection using biosignals. G. Giannakakis, D. Grigoriadis, K. Giannakaki, O. Simantiraki, A. Roniotis and M. Tsiknakis, IEEE Transactions on Affective Computing, 2019.
• A Review on the Computational Methods for Emotional State Estimation from the Human EEG. Min-Ki Kim, Miyoung Kim, Eunmi Oh, Sung-Phil Kim, Computational and Mathematical Methods in Medicine, 2013.
• Emotional State Detection Based on EMG and EOG Biosignals: a Short Survey. J. Perdiz, G. Pires and U. J. Nunes, IEEE 5th Portuguese Meeting on Bioengineering (ENBENG), 2017.
• Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature. H.G. Kim, E.J. Cheon, D.S. Bai, Y. H. Lee, B.H. Koo, Psychiatry investigation, 2018.
• Automating anxiety detection using respiratory signal analysis. H. Haritha, S. Negi, R. S. Menon, A. A. Kumar and C. S. Kumar, 2017 IEEE Region 10 Symposium (TENSYMP), 2017.
• Recognizing Stress Using Semantics and Modulation of Speech and Gestures. I. Lefter, G. J. Burghouts and L. J. M. Rothkrantz, IEEE Transactions on Affective Computing, 2016.
• Distinct facial expressions represent pain and pleasure across cultures. C. Chen, C. Crivelli, O. G. B. Garrod, P. G. Schyns, J.M. Fernandez-Dols, R. E. Jack, Proceedings of the National Academy of Sciences, vol. 115, no. 43, 2018.
• Towards a robust and accurate screening tool for dyslexia with data augmentation using GANs. T. Asvestopoulou, V. Manousaki, A. Psistakis, E. Nikolli, V. Andreadakis, I. M Aslanides, Y. Pantazis, I. Smyrnakis, M. Papadopouli, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 2019.

Wireless Networks in health care (Body Area Networks)

• Enabling Deep-Tissue Networking for Miniature Medical Devices. Y. Ma, Z. Luo, C. Steiger, G. Traverso, F. Adib, 2018 Conference of the ACM Special Interest Group on Data Communication (SIGCOMM '18), 2018.
• In-Vivo Networking: Powering and communicating with tiny battery-free devices inside the body.
• Emotion Recognition using Wireless Signals. M. Zhao, F.Adib, D.Katabi, Commun. ACM, vol. 61, no. 9, 2018.
• In-Body Backscatter Communication and Localization. D. Vashit, G. Zhang, O. Abari, H. Lu, J. Flanz, D. Katabi, ACM SIGCOMM 2018, 2018.
• Wireless Interrogation of Implantable SAW Sensors. L. Zou, C. McLeod and M. R. Bahmanyar, IEEE Transactions on Biomedical Engineering, vol. 67, no. 5, 2020.
• The Impact of Implantable Sensors in Biomedical Technology on the Future of Healthcare Systems. Chapter 3 from "Intelligent Pervasive Computing Systems for Smarter Healthcare", Wiley 2019.
• The state-of-the-art wireless body area sensor networks: A survey. R. Khan, A. Khan Pathan, International Journal of Distributed Sensor Networks, 2018.
• 5G and wireless body area networks. R. Jones, K. Kaitzis, 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2018.
• Recent Advances on Implantable Wireless Sensor Networks. Hugo Dinis and Paulo M. Mendes, 2017.
• Ultra Wide Band Body Area Networks: Design and Integrationwith Computational Clouds. J.Kołodziej, D. Grzonka, A. Widłak, P. Kisielewicz, In: High-Performance Modelling and Simulation for Big Data Applications. Lecture Notes in Computer Science, vol 11400. Springer 2019.
• Wearable, Epidermal and Implantable Sensors for Medical Applications. N. R. Rishani, H. Elayan, R. M. Shubair, A. Kiourti, arxiv preprint, 2018. (pages 18-21: networking issues)
• QoS in Body Area Networks: A Survey. M. A. Razzaque, M. T. Hira, M. Dira, ACM Transactions on Sensor Networks, vol. 13, no. 3, article 25, 2017.
• QoS-based routing in Wireless Body Area Networks: a survey and taxonomy. N. Yessad, M. Omar, A. Tari et al., Computing 100, 245–275, 2018.