An Overview of Estimation Methods within Wireless Sensor Networks
Everette Adams1, Shaoliang Jia2
1Evererre Adams, USA.
2Shaoliang Jia, Singapore.
Manuscript received on July 05, 2013. | Revised Manuscript received on July 11, 2013. | Manuscript published on July 15, 2013. | PP: 21-23 | Volume-1 Issue-8, July 2013. | Retrieval Number: H0374071813/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper is a review of some publications that considered estimation issues within wireless sensor networks. Byzantine attacks on sensors, sensor position uncertainty, and calculation error times are some of the issues that falsify data within a wireless sensor network. Therefore, the implementation of new systematic methods that outperformed previous methods solved each estimation issue as described.
Keywords: Binary Symmetric Channel (BSC), Byzantine Attack, Cramer-Rao Lower Bound (CRLB), Weighted Average (WA).