Energy-efficient Trust-based Aggregation in Wireless Sensor Networks

Zahra Taghikhaki, Nirvana Meratnia, Paul J.M. Havinga

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    14 Citations (Scopus)


    Wireless sensor networks (WSNs) are often deployed in unattended and noise-prone environments and suffer from energy constraints that limit the quality and quantity of data transmission. Every decision made based on the low quality and low quantity data may have drastic consequence. Therefore, ensuring high quality of sensor data and preserving energy resources of the sensor nodes go hand in hand. In this paper, we propose ETA that is an Energy-efficient Trust based data aggregation aims to achieve reliable and energy-efficient data transmission and aggregation. We use the concept of functional reputation and trust as a means to reach reliability. Functional reputation is used to select nodes that best satisfy the criteria to be an aggregator on the basis of the quality of the node. To find out the best path from every sensor node to the aggregator we take into account the link availability and residual energy of the nodes over the path. Simulation results show that even though ETA introduces some delays, overall it outperforms the other approaches in terms of reliability and lifetime.
    Original languageUndefined
    Title of host publicationProceedings of the 3rd International Workshop on Wireless Sensor, Actuator and Robot Networks (WiSARN 2011), in conjunction with IEEE InfoCom
    Place of PublicationUSA
    Number of pages6
    ISBN (Print)978-1-4244-9920-5
    Publication statusPublished - 10 Apr 2011
    Event3rd International Workshop on Wireless Sensor, Actuator and Robot Networks, WiSARN 2011 - Shanghai, China
    Duration: 10 Apr 201110 Apr 2011

    Publication series

    PublisherIEEE Communications Society


    Workshop3rd International Workshop on Wireless Sensor, Actuator and Robot Networks, WiSARN 2011
    Other10 April 2011


    • METIS-277633
    • EWI-20162
    • IR-77132

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