Matches in SemOpenAlex for { <https://semopenalex.org/work/W2801351572> ?p ?o ?g. }
- W2801351572 endingPage "88" @default.
- W2801351572 startingPage "1" @default.
- W2801351572 abstract "Abstract The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, sustainability, health monitoring, and Internet of Things (IoT). Compared with a wired centralized sensor network, a distributed WSN has many advantages including scalability and robustness to sensor node failures. In this book, we address the problem of estimating the structure of distributed WSNs. First, we provide a literature review in: (a) graph theory; (b) network area estimation; and (c) existing consensus algorithms, including average consensus and max consensus. Second, a distributed algorithm for counting the total number of nodes in a wireless sensor network with noisy communication channels is introduced. Then, a distributed network degree distribution estimation (DNDD) algorithm is described. The DNDD algorithm is based on average consensus and in-network empirical mass function estimation. Finally, a fully distributed algorithm for estimating..." @default.
- W2801351572 created "2018-05-17" @default.
- W2801351572 creator A5032264417 @default.
- W2801351572 creator A5074371899 @default.
- W2801351572 creator A5080800965 @default.
- W2801351572 creator A5085141819 @default.
- W2801351572 date "2018-03-02" @default.
- W2801351572 modified "2023-10-04" @default.
- W2801351572 title "Distributed Network Structure Estimation using Consensus Methods" @default.
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