Research questions

Overview of reserach topics
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Organic Wireless Sensor Networks

The over-deployment of WSNs renders many sensing nodes redundant in functionality, and inflates the cost of running applications; not to mention the resulting wireless medium contention. In this direction we present a novel approach to expanding the operational scale of WSNs by adapting to the environment in which it is deployed. That is, capitalizing on an organic approach in thriving on available resources in the region of interest to reduce deployment cost, and solicit incentivized interaction among communicating resources to deliver dynamic sensing.
​Not only does this span a new dimension of reliability, over garnered resources, but presents a novel approach to assigning sensing tasks to available resources in correlation to their abundance and serviceability. 

Publications: (Books/Journals highlighted in red)

  1. ​S. Oteafy and H. Hassanein, “Dynamic Wireless Sensor Networks", Wiley-ISTE, ISBN: 978-1-84821-531-3, June 2014. 
  2. S. Oteafy and H. Hassanein, “Organic Wireless Sensor Networks: A resilient paradigm for ubiquitous sensing", 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), 21-25 September, 2014.
  3. S. Oteafy and H. Hassanein, "Cloud-centric Sensor Networks - Deflating the hype," in IEEE Symposium on Computers and Communication (ISCC) Workshops, Spain, 23-26 June 2014
  4. S. Oteafy and H. Hassanein, “Dynamic Resource Reuse Towards Participatory Sensing Network", 27th Queen's Biennial Symposium on Communications, 1-3 June 2014.
  5. S. Oteafy and H. Hassanein, “Resilient Sensor Networks Utilizing Dynamic Resource Reuse”, International Conference on Computing, Management and Telecommunications (ComManTel), 27-29 April, 2014.
  6. K. Elgazzar, W. Ibrahim, S. Oteafy, H. Hassanein, “RobP2P: A Robust Architecture for Resource Sharing in Mobile Peer-to-Peer Networks,” The 4th International Conference on Ambient Systems, Networks and Technologies (ANT), Halifax, Nova Scotia, Canada, 25-28 June, 2013. (Invited to a Special Issue)

Leveraging Big Sensed Data in the IoT

The advent of Big Data research, and the significant impact of sensors in it, demand novel directions in handling the overhead of real-time sensing and reporting. Now, a single flight could generate half a Terabyte of data from its sensors. The overhead of communicating huge amounts of data is both intractable and un-sustainable, even if we choose to overlook the cost of storage.
In this direction I build upon the evolution of Big Sensed Data (BSD), and highlight the current challenges and potential research directions to address them. Most importantly, I aim to establish measures to prune BSD over heterogeneous devices, and the factors that will aid us in devising such dynamic pruning systems. 
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Publications:

  1. S. Oteafy, “A Framework for Heterogeneous Sensing in Big Sensed Data", IEEE Globecom 2016
  2. S. Oteafy and H. Hassanein, “Big Sensed Data: Evolution, Challenges and a Progressive framework”, IEEE Wireless Communications magazine, 2016 (under review)
  3. S. Aleyadeh, S. Oteafy and H. Hassanein, “Scalable Transportation Monitoring using the Smartphone Road Monitoring (SRoM) System", 5th ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, November 2015.
  4. N. Khelifi, S. Oteafy, H. Hassanein and H. Youssef, “Proactive maintenance in RPL for 6LowPAN”, International Wireless Communications & Mobile Computing Conference (IWCMC) - Wireless Sensor Symposium, Dubrovnik, Croatia, August 2015.
  5. H. Lutfiyya and S. Oteafy, "Convergent paradigms in the internet of things (CT-IoT)". In Proceedings of 24th Annual International Conference on Computer Science and Software Engineering (CASCON), IBM, Toronto, ON, Canada, 2014.
  6. K. Elgazzar, S. Oteafy, W. Ibrahim and H. Hassanein, “RobP2P: Smart Resource Sharing in Mobile P2P Environments”, The Computer Journal (Oxford): Special Issue on Ambient and Context-Aware Services for the Future Web, July 2014.
    A. Abahsain, A. Al-Fagih, S. Oteafy and H. Hassanein, "Selective Context Fusion Utilizing an Integrated RFID-WSN Architecture", IEEE Consumer Communications and Networking Conference (CCNC), Jan 2013.
  7. S. Oteafy and H. Hassanein, “Resource Re-use in Wireless Sensor Networks: Realizing a Synergetic Internet of Things”, Journal of Communications, Special Issue on Future Directions on Computing and Networking, Vol 7, No 7, 484-493, Jul 2012.
    A. Al-Fagih, S. Oteafy and H. Hassanein, “A Pricing Scheme for Porter Based Delivery in Integrated RFID-Sensor Networks”, IEEE LCN ON-MOVE, 6th Workshop On User MObility and VEhicular Networks, 2012.
  8. S. Oteafy, F. Al-Turjman, H. Hassanein, “Pruned Adaptive Routing in the Heterogeneous Internet of Things”,  Globecom 2012 - Ad Hoc and Sensor Networking Symposium, 2012.
  9. S. Oteafy and H. Hassanein, "Towards a global IoT: Resource re-utilization in WSNs," International Conference on Computing, Networking and Communications (ICNC), pp.617-622, Jan. 2012.

Resource management in
​Heterogeneous Sensor Networks

Today’s abundance of sensors and their wireless/wired networks, coupled with a growing plethora of applications, necessitate a dynamic approach to the assignment of tasks to a network. The current practice in WSN design is almost always application specific, due to functional and resource trade-offs that have justified much of the tailored solutions presented so far.
​Identifying this as a major bottleneck in WSN advancement, this research direction presents a new paradigm which decouples applications from WSN architectures and protocols. We present an elaborate abstraction of network resources, with detailed description of its governing utility attributes. Then describe the view of applications as an aggregation of functional requirements based on a given set of resources. 

Publications:

  1. S. Oteafy and H. Hassanein, “Resilient IoT architectures over Dynamic Sensor Networks with adaptive components", IEEE Internet of Things Journal, 2016 
  2. S. Oteafy and H. Hassanein, “Component-based Wireless Sensor Networks: A Dynamic Paradigm for Synergetic and Resilient Architectures ”,  38th IEEE Conference on Local Computer Networks (LCN), Sydney, Australia, Oct. 2013.
  3. S. Oteafy and H. Hassanein, “Utilizing transient resources in dynamic wireless sensor networks”, IEEE Wireless Communications and Networking Conference (WCNC), April 2012.
  4. S. Oteafy and H. Hassanein, “ "Re-Usable Resources in Wireless Sensor Networks: A Linear Optimization for a Novel Application Overlay Paradigm over Multiple Networks," IEEE Global Telecommunications Conference (GLOBECOM), pp.1-5, Dec. 2011
  5. F. Al-Turjman, H. Hassanein and  S. Oteafy, “Towards Augmenting Federated Wireless Sensor Networks”, International Conference on Ambient Systems, Networks and Technologies (ANT), 2011 (best paper award)
  6. K. Ali, S. Oteafy and H. Hassanein,  “Energy-Efficient Parallel Singulation in RFID”, IEEE International Communications Conference (ICC), pp. 1-5, 2010
  7. S. Oteafy, H. Aboelfotoh, H. Hassanein, "Dynamic Election-Based Sensing and Routing in Wireless Sensor Networks”,  IEEE Global Telecommunications Conference (GLOBECOM), pp.1-6, 2009.
  8. S. Oteafy, H. Aboelfotoh, H. Hassanein, "Decentralized Multi-Level Duty Cycling in Sensor Networks," IEEE Global Telecommunications Conference, 2008 (GLOBECOM), pp.1-5, 2008

Information Centric Networks:
Mobility and adaptive caching (new)

​Since the exponential rise in generated content and data is pushing ICN research efforts, it is important to consider the impact and viability of integrating concrete primitives for sensing paradigms in developing ICN models. The rise of Information Centric Networks (ICNs) enables a dynamic and self-learning paradigm for handling large amounts of data over sophisticated caching schemes. 
In this direction I exploit mobility primitives and adaptive caching schemes to facilitate QoI based caching in ICNs, to improve access latency and reduce traffic congestions resulting from all the content that traverses the network. 

Publications:

W. Li, S. Oteafy and H. Hassanein, “Rate-Selective Caching for Adaptive Streaming over Information centric Networks”, IEEE Transactions on Computers, 2017 (accepted)

​W. Li, S. Oteafy and H. Hassanein, “Dynamic Adaptive Streaming over Popularity-driven Caching in Information Centric Networks”, IEEE International Communications Conference (ICC), 23-27 May 2016

W. Li, S. Oteafy and H. Hassanein, “Dynamic Adaptive Streaming over Popularity-driven Caching in Information Centric Networks”, IEEE International Communications Conference (ICC), 8-12 June 2015.