A Framework for Energy based Performability models for Wireless Sensor Networks

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2015-03-27

Author

Omondi, Fredrick A.
Shah, Purav
Gemikonakli, Orhan
Ever, Enver

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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A novel idea of alternating node operations between Active and Sleep modes in Wireless Sensor Network (WSN) has successfully been used to save node power consumption. The idea which started off as a simple implementation of a timer in most protocols has been improved over the years to dynamically change with traffic conditions and the nature of application area. Recently, use of a second low power radio transceiver to triggered Active/Sleep modes has also been made. Active/Sleep operation modes have also been used to separately model and evaluate performance and availability of WSNs. The advancement in technology and continuous improvements of the existing protocols and application implementation demands continue to pose great challenges to the existing performance and availability models. In this study the need for integrating performance and availability studies of WSNs in the presence of both channel and node failures and repairs is investigated. A framework that outlines and characterizes key models required for integration of performance and availability of WSN is in turn outlined. Possible solution techniques for such models are also highlighted. Finally it is shown that the resulting models may be used to comparatively evaluate energy consumption of the existing motes and WSNs as well as deriving required performance measures.

Subject Keywords

PERFORMANCE, MAC

URI

https://hdl.handle.net/11511/67642

DOI

https://doi.org/10.1109/waina.2015.111

Conference Name

IEEE 29th International Conference on Advanced Information Networking and Applications Workshops WAINA 2015

Collections

Engineering, Conference / Seminar

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Citation Formats

F. A. Omondi, P. Shah, O. Gemikonakli, and E. Ever, “A Framework for Energy based Performability models for Wireless Sensor Networks,” Gwangju, SOUTH KOREA, 2015, p. 175, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67642.