{"@context":"http://iiif.io/api/presentation/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/manifest.json","@type":"sc:Manifest","label":"Building a High Performance Perpetual Wireless Sensor Network by Wireless Charging","metadata":[{"label":"dc.description.sponsorship","value":"This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree."},{"label":"dc.format","value":"Monograph"},{"label":"dc.format.medium","value":"Electronic Resource"},{"label":"dc.identifier.uri","value":"http://hdl.handle.net/11401/77450"},{"label":"dc.language.iso","value":"en_US"},{"label":"dc.publisher","value":"The Graduate School, Stony Brook University: Stony Brook, NY."},{"label":"dcterms.abstract","value":"With an increasing demand of sensing applications, energy has been one of the top concerns in wireless sensor networks. Most of the previous works study energy conservation to extend network lifetime and a variety of schemes have been proposed that can elongate network lifetime to some extent. However, with limited energy storage, sensor's battery would deplete eventually and replacing those batteries requires tremendous human efforts. My dissertation investigates a novel approach to replenishing sensor's battery via wireless charging without wires or plugs. We start with a complete overview of the recent developments in wireless charging technologies and their applications in wireless sensor networks to highlight their features and capabilities. A mobile charger (MC) is adopted and we call these networks Wireless Rechargeable Sensor Networks (WRSNs). Then we address several important issues and propose a suite of algorithms to guarantee perpetual operation of the network. First, we discuss several principles from theoretical aspects for perpetual operation. To guarantee that the recharge decisions are made based on accurate information, we then consider the problem of how to gather energy information from the network efficiently. A distributed, on-demand communication protocol is proposed. Based on the energy information collected, recharge scheduling algorithms are developed to minimize the moving cost of MCs. Second, due to physical limits, an MC can only recharge one sensor at a time. We explore the feasibility of multi-hop wireless charging via resonant repeaters and demonstrate tremendous performance improvements. A new recharge scheduling algorithm based on multi-hop wireless charging is proposed. Finally, we exploit the combination of wireless energy with renewable environmental energy for extra cost savings. In particular, we propose a network that relies on hybrid energy sources (both wireless and solar). We further consider a set of interesting problems such as solar-powered sensor deployments, energy re-balance clustering and recharge/data gathering in a joint tour. A complete network performance evaluation is presented in various criteria such as nonfunctional node percentage, network latency, energy overhead, etc."},{"label":"dcterms.available","value":"2017-09-20T16:52:43Z"},{"label":"dcterms.contributor","value":"Yang, Yuanyuan"},{"label":"dcterms.creator","value":"Wang, Cong"},{"label":"dcterms.dateAccepted","value":"2017-09-20T16:52:43Z"},{"label":"dcterms.dateSubmitted","value":"2017-09-20T16:52:43Z"},{"label":"dcterms.description","value":"Department of Electrical Engineering"},{"label":"dcterms.extent","value":"188 pg."},{"label":"dcterms.format","value":"Application/PDF"},{"label":"dcterms.identifier","value":"http://hdl.handle.net/11401/77450"},{"label":"dcterms.issued","value":"2017-05-01"},{"label":"dcterms.language","value":"en_US"},{"label":"dcterms.provenance","value":"Made available in DSpace on 2017-09-20T16:52:43Z (GMT). No. of bitstreams: 1\nWang_grad.sunysb_0771E_13213.pdf: 5046626 bytes, checksum: be53af9353ee137c2269251f5036e348 (MD5)\n  Previous issue date:    1"},{"label":"dcterms.publisher","value":"The Graduate School, Stony Brook University: Stony Brook, NY."},{"label":"dcterms.subject","value":"Cost Minimization, Scheduling, Wireless Charging, Wireless Sensor Networks"},{"label":"dcterms.title","value":"Building a High Performance Perpetual Wireless Sensor Network by Wireless Charging"},{"label":"dcterms.type","value":"Dissertation"},{"label":"dc.type","value":"Dissertation"}],"description":"This manifest was generated dynamically","viewingDirection":"left-to-right","sequences":[{"@type":"sc:Sequence","canvases":[{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json","@type":"sc:Canvas","label":"Page 1","height":1650,"width":1275,"images":[{"@type":"oa:Annotation","motivation":"sc:painting","resource":{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/94%2F74%2F51%2F94745104855895297521253011409747099051/full/full/0/default.jpg","@type":"dctypes:Image","format":"image/jpeg","height":1650,"width":1275,"service":{"@context":"http://iiif.io/api/image/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/94%2F74%2F51%2F94745104855895297521253011409747099051","profile":"http://iiif.io/api/image/2/level2.json"}},"on":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json"}]}]}]}