Rendered Path: Range-Free Localization in Anisotropic Sensor Networks With Holes

By Mo Li, Yunhao Liu. IEEE/ACM Transactions on Networking, 2007

376 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/d116edcc796258b09f5472a48d43e1ca6881926d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Yuan Shen
2. Wenhan Dai
3. Moe Z. Win
4. Sajal K. Das
5. Xiaobing Wu
6. Carlo Fischione
7. Yunhao Liu
8. Guihai Chen

In Electrical and Electronic Engineering

1. Yuan Shen
2. Wenhan Dai
3. Moe Z. Win
4. Zheng Yang
5. Yunhao Liu
6. Carlo Fischione
7. Guihai Chen
8. Lirong Jian

In Ocean Engineering

1. Yuan Shen
2. Wenhan Dai
3. Moe Z. Win
4. Zheng Yang
5. Yunhao Liu
6. Carlo Fischione
7. Lirong Jian
8. Xiaoping Wang

Citations in the corpus

• Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution (2008, background): “Applications of WSN technology include landslide prediction [4], object localization [5], and surveillance [6], [7], among others.”
• A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, methodology): “Based on a network hole detection method [122] that detects nodes at the boundaries of network holes, the Rendered Path (REP) algorithm measures the deviation angle of the shortest path and estimates their distance with the cosine rule [123].”
• A Survey on Fundamental Limits of Integrated Sensing and Communication (2021, neutral): “, fingerprinting-based localization, proximity-based localization and visible light-based positioning (VLP) [47], [48], [49], [50], [51], [52], [53].”
• A Theoretical Foundation of Network Localization and Navigation (2018, methodology): “1As a side note, RSS can also be used as a fingerprint to match the entries in the database for localization with the aid of training [105]–[108].”
• Location, Localization, and Localizability (2010, background): “Based on that work, REP([41]) is proposed to deal with the “distance mismatch” problem in anisotropic networks.”