NeTS-NECO: A New Resource Management Paradigm for Sensor Networks with Energy Replenishment, National Science Foundation (CNS-0831919).

List of personnel

  1. Principal Investigators: Ness Shroff, C. Emre Koksal, and Prasun Sinha.

  2. Graduate students: Zhoujia Mao, Shengbo Chen, Ren-Shiou Liu, Rahul Srivastava, Onur Gungor, Wenzhou Ouyang.

Vision

Over the last few years, there has been an enormous amount of interest in the area of wireless sensor networks. New and exciting developments in the areas of renewable sources of energy have the potential of further increasing the usage and applicability of such networks. For example, sensors have already been developed that rely on harvesting strain and vibration energies from their working environment. Also, sensors could run on solar cells to increase their lifetimes. These energy sources typically provide replenishment at a rate slower than the rate at which energy is consumed by packet transmissions and at a variable rate depending upon the surroundings. Thus, the operational capabilities of such networks are fundamentally limited by the energy available at the nodes (radios) in the network. In this project, we are focused on modeling and characterizing the performance of sensor networks in the presence of energy constraints, and designing simple distributed algorithms to optimally utilize the available energy. The design and control of sensor networks with the added dimension of replenishment energy makes the problem of managing these networks substantially different from their non-replenishment counterparts. For example, in the case of sensor networks without replenishment, having a battery that is close to being full is a desirable feature. However, in the case of a network with replenishment, a full battery means that there can be no replenishment, hence, it is a missed opportunity to utilize the replenishment energy, resulting in a lower overall performance. Thus, a new resource management paradigm needs to be developed to optimize the performance of sensor networks with energy replenishment. In this project our goal has been to understand the limits of the performance of the sensor networks with replenishment, and to develop simple distributed algorithms and protocols that approach these limits.

Publications

Books/Book Chapters

  1. Z. Mao, C. E. Koksal, and N. B. Shroff, "Cross-Layer Resource Allocation in Energy Harvesting Sensor Networks", in Rechargeable Sensor Networks: Technology, Theory and Application, edited by Jiming Chen, Shibo He and Youxian Sun, World Scientific Publishing, 2013.

Journal

  1. Shengbo Chen, Prasun Sinha, Ness Shroff, and Changhee Joo, "Simple Asymptotically Optimal Joint Energy Allocation and Routing Scheme in Rechargeable Sensor Networks", IEEE/ACM Transactions on Networking (TON), to appear.

  2. Ren-Shiou Liu, Prasun Sinha, and C. Emre Koksal, "Towards Achieving Perpetual Operation in Rechargeable Sensor Networks", IEEE Transactions on Parallel and Distributed Systems, 2013, submitted

  3. Ren-Shiou Liu, Kai-Wei Fan, Zizhan Zheng and Prasun Sinha, "Perpetual and Fair Data Collection for Environmental Energy Harvesting Sensor Networks", IEEE/ACM Trans. on Networking, 19 (4), pp 947-960, August 2011.

  4. Ren-Shiou Liu, Prasun Sinha, and C. Emre Koksal, "Towards Achieving Perpetual Operation in Rechargeable Sensor Networks", OSU ECE/CSE Technical Report, 2010.

  5. Rahul Srivastava and C. Emre Koksal, "Basic Performance Limits and Tradeoffs in Energy Harvesting Sensor Nodes with Finite Data and Energy Storage", IEEE/ACM Transactions on Networking, 21 (4), pp 1049-1062, August 2013.

  6. S. Kwon and N. B. Shroff, "Energy-efficient Unified Routing Algorithm for Multi-hop Wireless Networks", IEEE Transactions on Wireless, Communications, vol. 11, no. 11, pp.3890 – 3899, Nov. 2012.

  7. Arun Sridharan, C. Emre Koksal, and Elif Uysal-Biyikoglu, "A Greedy Link Scheduler for Wireless Networks with Gaussian Broadcast and Multiple Access Channels", IEEE/ACM Transactions on Networking, 20 (1), pp 100-113, February 2012.

  8. Z. Mao, C. E. Koksal, N. B. Shroff, "Near Optimal Power and Rate Control of Multi-Hop Sensor Networks With Energy Replenishment: Basic Limitations With Finite Energy and Data Storage", IEEE Transactions on Automatic Control, p. 815, vol. 57, (2012).

  9. C. Emre Koksal and Philip Schniter, "Robust Rate-Adaptive Wireless Communication Using ACK/NAK-Feedback", IEEE Transactions on Signal Processing, 60 (4), pp. 1752-1765, April 2012.

Conference

  1. Ren-Shiou Liu, Prasun Sinha, and C. Emre Koksal, "Joint Energy Management and Resource Allocation in Rechargeable Sensor Networks", IEEE INFOCOM 2010.

  2. Kai-Wei Fan, Zizhan Zheng and Prasun Sinha, "Steady and Fair Rate Allocation for Rechargeable Sensors in Perpetual Sensor Networks", Proc. of ACM SENSYS 2008.

  3. Shengbo Chen, Prasun Sinha, Ness B. Shroff, Changhee Joo, "Finite-Horizon Energy Allocation and Routing Scheme in Rechargeable Sensor Networks", IEEE INFOCOM 2011.

  4. Zhoujia Mao, C. Emre Koksal, and Ness B. Shroff, "Resource Allocation in Sensor Networks with Renewable Energy", IEEE ICCCN (2010). Published

  5. Shengbo Chen, Prasun Sinha, Ness B. Shroff, and Changhee Joo, "A Simple Asymptotically Optimal Energy Allocation and Routing Scheme in Rechargeable Sensor Networks", IEEE INFOCOM 2012.

  6. Onur Gungor, Ozan Onur Koyluoglu, Hesham El Gamal, and C. Emre Koksal, "Proactive Source Coding", Proceedings of IEEE International Symposium on Information Theory (ISIT 2011).

  7. Zhoujia Mao, C. Emre Koksal, and Ness B. Shroff, "Queue and Power Control for Rechargeable Sensor Networks under the SINR Interference Model", Proceedings of Asilomar Conference on Signals, Systems and Computers 2011.

  8. Arun Sridharan, Changhee Joo, and C. Emre Koksal, "Energy Efficient Greedy Link Scheduling and Power Control in Wireless Networks", Proceedings of IEEE International Symposium on Information Theory (ISIT 2012).

  9. Arun Sridharan and C. Emre Koksal, "A Greedy Link Scheduler for Wireless Networks with Fading Channels", Proceedings of Asilomar Conference on Signals, Systems and Computers 2011.

  10. MHR Khouzani, S. Eshghi, S. Sarkar, S. S Venkatesh, and N. B. Shroff, "Optimal Energy-Aware Epidemic Routing in DTNs", ACM Mobihoc 2012, Hilton Head Island, South Carolina, June 2012.

  11. Y. Wu, N. B. Shroff, Z. Niu,, "Energy Minimization in Cooperative Relay Networks with Sleep Mode", IEEE 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT 2012), Paderborn, Germany, May 2012.

  12. W. Ouyang, A. Eryilmaz, N. B. Shroff, "Low-complexity Optimal Scheduling Over Correlated Fading Channels with ARQ Feedback", IEEE 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT 2012), Paderborn, Germany, May 2012.

  13. Arun Sridharan, Changhee Joo, and C. Emre Koksal, "Energy Efficient Greedy Link Scheduling in Wireless Networks", Proceedings of BlackSeaCom 2013, Batumi, Georgia, July 2013.

  14. Ghada Saleh, C. Emre Koksal, and Ness B. Shroff, "Optimal SINR Based Resource Allocation for Simultaneous Energy and Information Transfer," IEEE GlobalSIP Symposium on Energy Harvesting and Green Wireless Communications, GlobalSIP 2013, Austin, TX, December 2013.

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