# A Dependable Localization Algorithm for Survivable Belt-Type Sensor Networks
## 5 Conclusions  
Reliable and secure positioning algorithm is a significant issue in the IoT. In this work, we focus on the problem of target location in belt-type sensor networks. An energy-efficient strategy is adopted to deploy the IoT nodes, and decision mechanism of the broadcasting data is utilized to improve the security and reliability of the positioning information. We apply a new method to estimate the hop distances by relating the proximity of the neighbors to their connectivity difference. By weighting the average hop distance error of the anchor nodes, the average hop distance is modified and more accurate neighborhood distances are calculated. Through the improved strategy, compared with previous methods, the proposed algorithm effectively enhances the speed and precision of the positioning, reduces the possibility of the anchor nodes suffering abnormal interference, and meet the needs of  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Algorithm Type**} & \multicolumn{4}{c}{**The Number of Anchor Nodes**} \\ \cline{2-5}  & **3** & **7** & **10** & **15** \\ \hline DV-Hop & 200 ms & 210 ms & 270 ms & 310 ms \\ C DV-Hop & 400 ms & 420 ms & 550 ms & 590 ms \\ DV-Distance & 1350 ms & 1500 ms & 1820 ms & 1970 ms \\ Our algorithm & 1200 ms & 1200 ms & 1500 ms & 1550 ms \\ \hline \hline \end{tabular}
\end{table}
Table 1: Effect factors of localization time (case 1).  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Algorithm Type**} & \multicolumn{4}{c}{**The Number of Sensor Nodes**} \\ \cline{2-5}  & **10** & **20** & **30** & **50** \\ \hline DV-Hop & 1200 ms & 1200 ms & 1500 ms & 1500 ms \\ C DV-Hop & 900 ms & 1000 ms & 1600 ms & 1750 ms \\ DV-Distance & 1400 ms & 1500 ms & 1700 ms & 17,500 ms \\ Our algorithm & 1700 ms & 1750 ms & 1900 ms & 1950 ms \\ \hline \hline \end{tabular}
\end{table}
Table 2: Effect factors of localization time (case 2).  
energy efficiency. The main factors influencing the localization errors are analyzed by simulation, and the validity of the algorithm is verified as well. Theoretical analysis and validation results shows that our location algorithm has a good effect in detecting false anchor nodes and resisting interference attacks. Compared with current non-ranging methods, our algorithm improves the positioning accuracy by nearly 19%. The results also reveal that the proposed localization algorithm is more convenient. It has demonstrated some good characteristics in fast convergence, extension performance and computation amount. With the development of wireless technology, the value of the belt-type sensor networks will be further recognized and utilized in next generation IoT systems. Our next step will continue to focus on improving the accuracy, security, and energy-efficient of positioning. More deployment experiments will be executed.  
The first two authors contributed equally to this work and share the first authorship. This work was supported by the Fundamental Research Funds for the Central Universities under Grant 2014 JBZ002 and by 'The Cross-Ministry Giga KOREA Project' grant funded by the Korea government (MSIT) (No.GK17N0100, 5G Mobile Communication System Development based on mmWave). [PERSON] and [PERSON] conceived and designed the experiments; [PERSON] performed the experiments; [PERSON] and [PERSON] analyzed the data; [PERSON] and [PERSON] contributed analysis tools; [PERSON] wrote the paper.  
The authors declare no conflict of interest.