Final Report Summary - EHNS-RAP (Energy Harvesting Networks - Resource Allocation and Performance Evaluation) The project focused on the design and performance evaluation of algorithms for networks of energy harvesting wireless nodes. Recent advances in the areas of energy harvesting and ultra-low-power wireless communications will soon enable the realization of such networks. They will find applications in healthcare, manufacturing, public safety, and will serve as building blocks for the Internet of Things (IoT) and Cyber Physical Systems. In order to realize this vision, the project focused on the paradigm shifts associated with the underlying enabling technologies and on the resulting algorithm design challenges. In particular, we thoroughly studied and characterized the energy availability for such networks. Moreover, we developed low complexity energy-harvesting-adaptive algorithms which aim to allocate resources uniformly in respect to time. These algorithms apply to the areas of neighbor discovery, information propagation, and forwarding. Finally, we designed prototypes which harvest indoor light energy, communicate and form multihop networks, and adapt their communications and networking patterns to the energy harvesting and battery states. Testbeds composed of prototypes have been used to experimentally evaluate the performance of different algorithms with trace-based light energy inputs. Overall, the project results provided important insights into the design of IoT devices and networks.In addition to the research contributions in the core area of energy harvesting, the project made contributions to other areas of wireless networking and cyber-physical systems. In particular, algorithms were developed and extensively evaluated for full duplex wireless networks, wireless multicast, and power grid networks. The results were summarized in 9 journal papers, 13 papers in conference proceedings, and a few demo descriptions and abstracts in conference proceedings (the papers can be found in http://wimnet.ee.columbia.edu).
