@article{780106,
      recid = {780106},
      author = {Zhang, Deyu, and Chen, Zhigang, and Zhou, Haibo, and Shen,  X.},
      title = {Resource management for energy and spectrum harvesting  sensor networks /},
      pages = {1 online resource (ix, 79 pages) :},
      abstract = {This SpringerBrief offers a comprehensive review and  in-depth discussion of the current research on resource  management. The authors explain how to best utilize  harvested energy and temporally available licensed  spectrum. Throughout the brief, the primary focus is energy  and spectrum harvesting sensor networks (ESHNs) including  energy harvesting (EH)-powered spectrum sensing and dynamic  spectrum access. To efficiently collect data through the  available licensed spectrum, this brief examines the joint  management of energy and spectrum. An EH-powered spectrum  sensing and management scheme for Heterogeneous Spectrum  Harvesting Sensor Networks (HSHSNs) is presented in this  brief. The scheme dynamically schedules the data sensing  and spectrum access of sensors in ESHSNs to optimize the  network utility, while considering the stochastic nature of  EH process, PU activities and channel conditions. This  brief also provides useful insights for the practical  resource management scheme design for ESHSNs and motivates  a new line of thinking for future sensor networking.  Professionals, researchers, and advanced-level students in  electrical or computer engineering will find the content  valuable.},
      url = {http://library.usi.edu/record/780106},
      doi = {https://doi.org/10.1007/978-3-319-53771-9},
}