Journal
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
Volume 9, Issue 2, Pages 823-838Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TETC.2019.2891716
Keywords
Quality of service; Wireless sensor networks; Logic gates; Task analysis; Resource management; Energy consumption; Humidity; Wireless sensor network; value of information; sensor ranking; sensing as a service
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An energy-aware value of information based sensor service ranking mechanism is proposed in this paper, which is capable of maintaining a balance between application specific quality of service requirements and overall network energy consumption, and shows an impressive 13% improvement in network lifetime.
Sensor service ranking for effective resource allocation is a well studied problem in service oriented wireless sensor networks. Existing sensor service ranking mechanisms fail to maintain a trade-off between meeting application requirements and minimizing the scarce network resource consumption. Moreover, a common usage context of the sensor data is considered while ranking the sensor services for different application queries. This results in a large number of applications not able to meet their specific quality of service requirements. This paper proposes an energy-aware value of information based sensor service ranking mechanism that models the rank of a sensor service as a value of information attribute while taking into account its usage context in the corresponding application. Integration of the proposed ranking mechanism with existing gateway service suggests its efficiency in maintaining a trade-off between application specific quality of service requirements and overall energy consumption in the network. Simulation results show that the proposed mechanism outperforms existing sensor service ranking mechanisms in terms of meeting applications' quality of service requirements. In addition to this, the proposed mechanism shows an impressive 13 percent improvement in network lifetime.
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