Improved DV-Hop Algorithm Research Articles

An Advanced DV-Hop Localization Algorithm for Wireless Sensor Networks

In emerging sensor network applications, localization in wireless sensor network is a recent area of research. Requirement of its applications and availability of resources need feasible localization algorithm with lower cost and higher accuracy. In this paper, we propose an Advanced DV-Hop localization algorithm that reduces the localization error without requiring additional hardware and computational costs. The proposed algorithm uses the hop-size of the anchor (which knows its location) node, from which unknown node measures the distance. In the third step of Advanced DV-Hop algorithm, inherent error in the estimated distance between anchor and unknown node is reduced. To improve the localization accuracy, we use weighted least square algorithm. Furthermore, location of unknown nodes is refined by using extraneous information obtained by solving the equations. By mathematical analysis, we prove that Advanced DV-Hop algorithm has lesser correction factor in the distance between anchor and the unknown node compared with DV-Hop algorithm, improved DV-Hop algorithm (Chen et al. 2008) and improved DV-Hop algorithm (Chen et al. in IEICE Trans Fundam E91-A(8), 2008), which is cause of better location accuracy. Simulation results show that the performance of our proposed algorithm is superior to DV-Hop algorithm and improved DV-Hop algorithms in all considered scenarios.

An Improved DV-Hop Algorithm based on Grey Correlation Method

An Improved DV-Hop Algorithm based on Grey Correlation Method

An Immune-Based Node Localization Algorithm for WSN

Node localization technology is the premise and foundation of all applications in wireless sensor network. An improved DV-Hop algorithm was proposed aimed at the low-power requirement of wireless sensor networks. The distances between nodes and anchor nodes were used to calculate the node location in DV-Hop algorithm, and the immune algorithm was used to optimize the estimated location in the third stage of DV-Hop algorithm. The improved algorithm does not require additional hardware devices, and has smaller additional amount of communication and computation.

An Improved DV-Hop Algorithm Based on Entropy for WSN

Localization is one of the key technologies in wireless sensor networks. In this paper, the improved algorithm is derived from DV-Hop algorithm, and uses entropy weight to improve localization accuracy without needing an additional hardware device. Simulation results show that the improved DV-Hop algorithm can provide more accurate location estimation than the DV-Hop algorithm.

Improvement of DV-Hop localization based on shuffled frog leaping algorithm

In order to reduce the node localization error of DV-Hop algorithm in Wireless Sensor Network(WSN),a calculation method of average distance per hop was adjusted by using the shuffled frog leaping algorithm.The improved DV-Hop algorithm makes the average distance per hop closer to the actual value,thereby reducing the localization error.The simulation results indicate that the improved DV-Hop algorithm reduces localization error effectively and has good stability without additional devices;therefore,it is a practical localization solution for WSN.