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M-Curves Path Planning for Mobile Anchor Node and Localization of Sensor Nodes Using DSA
| Content Provider | Scilit |
|---|---|
| Author | Edla, Damodar Reddy Kongara, Mahesh Chowdary Lipare, Amruta Kuppili, Venkatanareshbabu Kannadasan, K. |
| Copyright Year | 2020 |
| Description | In this chapter we present a new trajectory for mobile anchor based locaization and optimization technique for minizing the localization error using Dolphin Swarm Algorithm (DSA). The proposed trajectory ensures network coverage, minimum localizaiton error, high localization accuracy and minimum path length. Also, it guarantees that each sensor node receives atleast three non collinear beacon messages for localizing themselves. DSA is proven to be an effcient algorithm for optimizing the functions. Especially for models with lesser dimensions, DSA outperforms all other techniques. Hence, we utilized DSA for optimizing the localization by minimizing the localization error.Also, We proved that optimized localization approach outperforms traditional approaches. Book Name: Wireless Sensor Networks |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2019-0-04133-3&isbn=9780429324611&doi=10.1201/9780429324611-8&format=pdf |
| DOI | 10.1201/9780429324611-8 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-09-26 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Wireless Sensor Networks Telecommunications Models Sensor Trajectory Functions Path Dsa Optimizing Node Anchor Minimum |
| Content Type | Text |
| Resource Type | Chapter |
