Abstract
Location information is prerequisite for wireless sensor networks (WSNs) monitoring and control applications, since there is no meaning without position information for collected data. Distance vector hop (DV-Hop) localization algorithm as the typical range-free algorithm that has been widely applied in various applications. Nowadays, the research on range-free localization for WSNs is mostly based on two-dimensional (2D) space. Hence, there are few surveys concentrated on range-free localization in three-dimensional (3D) WSNs. This motivated us to present an extensive overview of enhanced DV-Hop localization algorithms in 3D WSNs. This paper focused on critical challenge between 2D and 3D in localization model, representative range-free 3D localization technique surveys. Moreover, a comprehensive taxonomy of most essential enhanced methods applied in 3D DV-Hop is illustrated. A considerable comparison in term of localization error, computational complexity and node type is given. Future research directions dealing with localization under 3D DV-Hop is also discussed.
Highlights
Micro-Electro-Mechanism System (MEMS), advanced wireless communication and digital electronics technology have promoted the development of Wireless Sensor Networks (WSNs) [1]
We present key issues and inherent challenges faced by DVHop localization techniques in 3D WSNs
We have provided a tutorial and survey of enhanced Distance vector hop (DV-Hop) localization algorithms under 3D WSNs since most previous works concentrated on 2D space
Summary
Micro-Electro-Mechanism System (MEMS), advanced wireless communication and digital electronics technology have promoted the development of Wireless Sensor Networks (WSNs) [1]. The distance vector hop (DV-Hop) localization algorithm as typical range-free algorithm that has been widely used for its simplicity and economy It has a large error during location process, which results in suffering from low localization accuracy. It motivated us to investigate a large body of enhanced localization algorithms in DV-Hop for 3D WSNs. With this paper, readers can have a more thorough understanding of DV-Hop localization under 3D WSNs, as well as research trends and future research directions in this area. Readers can have a more thorough understanding of DV-Hop localization under 3D WSNs, as well as research trends and future research directions in this area In this survey, we present key issues and inherent challenges faced by DVHop localization techniques in 3D WSNs. The structure of rest paper is as follows.
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