Abstract
The performance-energy tradeoffs for decentralized estimation in a multihop sensor network are studied. The sensor network consists of multiple heterogeneous branches. The leaf node on each branch observes a parameter corrupted by noise. Each leaf node quantizes its observation and sends the quantized data to the fusion center hop by hop. The parameter is estimated at the fusion center by using the best linear unbiased estimator. The performance is evaluated by adopting the MSE criterion. The total energy consumption in the sensor network is calculated. Network lifetime is defined and analyzed under per-sensor energy constraint. The tradeoff between performance and energy consumption as well as tradeoff between performance and network lifetime are investigated simultaneously. Optimization problems are formulated regarding both tradeoffs, and the conditions for optimization are identified for specific and generic sensor network deployments. The results demonstrate that both tradeoffs exist under given conditions.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
