| Speaker Affiliation | PhD Candidate in the Electrical Engineering at King Abdullah University of Science and Technology |
| Start | 10.11.2015, 16:30 Uhr |
| Location | TU Braunschweig, Informatikzentrum, Mühlenpfordtstraße 23, 1. OG, Hörsaal M 161 |
| Invited by | Prof. Dr.-Ing. Lars Wolf |
| Wireless sensor networks have enabled the existence of many accurate and inexpensive monitoring systems that could help in saving people lives as well as monitoring the environment. Nevertheless, having a long term operational network is associated with multiple challenges especially for critical and emergency applications. Our focus is on real-time traffic monitoring and flash flood detection system using solar powered wireless sensor networks. As a real-time application, system reliability and energy management is critical to ensure the system operation thus, we consider data routing policies in order to optimize the energy. Motivated by multi-purpose sensor networks, the objective is to find the best network policy that maximizes the minimal energy among nodes in a sensor network, over a finite time horizon, given uncertain energy input forecasts. We first show the derivation of the Mixed Integer Linear Programming (MILP) counterpart for solving the problem in a centralized manner. Then we drive the optimal policy that maximizes our specific problem over some time horizon using forward dynamic programming. Finally, we present a derivation for the proposed greedy policy that is distributed, and exhibits significantly lower complexity with a computational time that outperforms both aforementioned approaches along with the experimental validation. | |