1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
News and Resources for Members of the IEEE Signal Processing Society
Poongovan Ponnavaikko, Santa Clara University, "Delay-Constrained Energy Optimization in High-Latency Sensor Networks."
Advisor: Sarah Kate Wilson (Santa Clara University), JoAnne Holliday (Santa Clara University), Milica Stojanovic (Northeastern University)
Sensor networks deployed in high-latency environments such as underwater acoustic and satellite channels find critical applications in disaster prevention and tactical surveillance. The sensors in these networks have limited energy reserves. In order to extend the lifetime of these sensors, energy must be conserved in all layers of the protocol stack. In addition to long propagation delays, these channels are characterized by limited bandwidth and a lack of well-established closed-form analytical models. This fact makes finding cross-layer energy-optimal solutions a difficult problem to solve. The objective of this research is to compute near-optimal routes, schedules and transmit power levels for delay-constrained applications of high-latency sensor networks. The proposed approach uses a mixed-integer programming relaxation of the energy optimization problem. The relaxed problem is then decomposed into sub-problems that can be solved iteratively in a decentralized manner. Comparative simulation analysis shows that the proposed approach is more energy-efficient and throughput-efficient than the heuristic, time-sensitive greedy forwarding and least-cost routing algorithms.
|Call for Nominations: IEEE Technical Field Awards||15 January 2024|
|Call for Nominations for IEEE SPS Editors-in-Chief||31 January 2024|
|Nominate an IEEE Fellow today!||7 February 2024|
© Copyright 2023 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.