Saad Khan's Publications

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Load balanced clustering algorithm for energy efficient home area networking

S.A.Khan, F.A.Khan, A. Shahid, and Z.A. Khan. Load balanced clustering algorithm for energy efficient home area networking. In Proc. of IEEE Sensors Applications Symposium, IEEE-SAS, pp. 314–319, 2009.

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Abstract

Advancement and refinement of technology has resulted in widespread deployment of sensor networks in various facets of human life. Body and home area networks are an embodiment of their steady infiltration in our daily lives. Inherent energy issues with the sensor network technology paradigm have brought an emphasis towards the energy efficiency issue, thereby, propelling researchers to focus on developing topologies with minimal energy consumption constraints. Our work revolves around home area networking in which we have explored a self-organizing clustered topology with a low latency periodic and query-based data collection solution and have proved our proposition to have a significant reduction in terms of energy expenditures.

BibTeX

@inproceedings{SKhan-2009-SAS,
  title={Load balanced clustering algorithm for energy efficient home area networking},
  author={S.A.Khan and F.A.Khan and A. Shahid and Z.A. Khan},
  booktitle={Proc. of IEEE Sensors Applications Symposium, IEEE-SAS},
  pages={314--319},
  year={2009},
  organization={IEEE}
   bib2html_dl_pdf =
  {http://eecs.ucf.edu/~skhan/Publications/Download/SKhan-2009-SAS.pdf},  
   bib2html_pubtype = {Refereed Conference},
   bib2html_rescat = {Sensor Networks},
  abstract = {
   Advancement and refinement of technology has resulted in widespread deployment of sensor networks in various facets of human life. Body and home area networks are an embodiment of their steady infiltration in our daily lives. Inherent energy issues with the sensor network technology paradigm have brought an emphasis towards the energy efficiency issue, thereby, propelling researchers to focus on developing topologies with minimal energy consumption constraints. Our work revolves around home area networking in which we have explored a self-organizing clustered topology with a low latency periodic and query-based data collection solution and have proved our proposition to have a significant reduction in terms of energy expenditures.
   }    
}

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