File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
 Publisher Website: 10.1109/ACSSC.2011.6189944
 Scopus: eid_2s2.084861323549
 Find via
Supplementary

Citations:
 Scopus: 0
 Appears in Collections:
Conference Paper: Throughput of wireless networks powered by energy harvesting
Title  Throughput of wireless networks powered by energy harvesting 

Authors  
Issue Date  2011 
Citation  Conference Record  Asilomar Conference on Signals, Systems and Computers, 2011, p. 812 How to Cite? 
Abstract  Designing mobile devices for harvesting ambient energy such as kinetic activities or electromagnetic radiation (EMR) will enable mobile networks to self sustain besides alleviate global warming. The throughput of a mobile ad hoc network powered by energy harvesting is analyzed in this paper using a stochasticgeometry approach. The transmitters powered by energy harvesting are modeled as a Poisson point process (PPP); each transmits to a receiver at an unit distance using either a randomaccess protocol or the timehopping multiple access (THMA) and satisfying an outageprobability constraint. Consider nonEMR energy harvesting where energy packets of random sizes arrive at a transmitter following a stationary random process. By applying Mapping Theorem, the network (spatial) throughput for random access and in the limit of a long harvesting interval is derived in simple closedform functions of the energyarrival rate, transmitter density and coding rate. These results show that the throughput of a sparse network increases logarithmically with the energyarrival rate and linearly with the transmitter density. Moreover, dense energy arrivals provide marginal throughput gain as the network becomes interference limited but this gain can be enhanced using THMA. Next, EMR energy harvesting is also considered where transmitters harvest energy from transmissions in coexisting networks modeled as independent PPPs. The corresponding expressions of the network throughput can be modified from their nonEMR counterparts such that the harvested EMR power per mobile is equal to a sum of coexistingnetwork densities weighted by corresponding transmission power and harvesting efficiencies. © 2011 IEEE. 
Persistent Identifier  http://hdl.handle.net/10722/194365 
ISSN 
DC Field  Value  Language 

dc.contributor.author  Huang, K   
dc.date.accessioned  20140130T03:32:30Z   
dc.date.available  20140130T03:32:30Z   
dc.date.issued  2011   
dc.identifier.citation  Conference Record  Asilomar Conference on Signals, Systems and Computers, 2011, p. 812   
dc.identifier.issn  10586393   
dc.identifier.uri  http://hdl.handle.net/10722/194365   
dc.description.abstract  Designing mobile devices for harvesting ambient energy such as kinetic activities or electromagnetic radiation (EMR) will enable mobile networks to self sustain besides alleviate global warming. The throughput of a mobile ad hoc network powered by energy harvesting is analyzed in this paper using a stochasticgeometry approach. The transmitters powered by energy harvesting are modeled as a Poisson point process (PPP); each transmits to a receiver at an unit distance using either a randomaccess protocol or the timehopping multiple access (THMA) and satisfying an outageprobability constraint. Consider nonEMR energy harvesting where energy packets of random sizes arrive at a transmitter following a stationary random process. By applying Mapping Theorem, the network (spatial) throughput for random access and in the limit of a long harvesting interval is derived in simple closedform functions of the energyarrival rate, transmitter density and coding rate. These results show that the throughput of a sparse network increases logarithmically with the energyarrival rate and linearly with the transmitter density. Moreover, dense energy arrivals provide marginal throughput gain as the network becomes interference limited but this gain can be enhanced using THMA. Next, EMR energy harvesting is also considered where transmitters harvest energy from transmissions in coexisting networks modeled as independent PPPs. The corresponding expressions of the network throughput can be modified from their nonEMR counterparts such that the harvested EMR power per mobile is equal to a sum of coexistingnetwork densities weighted by corresponding transmission power and harvesting efficiencies. © 2011 IEEE.   
dc.language  eng   
dc.relation.ispartof  Conference Record  Asilomar Conference on Signals, Systems and Computers   
dc.title  Throughput of wireless networks powered by energy harvesting   
dc.type  Conference_Paper   
dc.description.nature  link_to_subscribed_fulltext   
dc.identifier.doi  10.1109/ACSSC.2011.6189944   
dc.identifier.scopus  eid_2s2.084861323549   
dc.identifier.spage  8   
dc.identifier.epage  12   