An Improved Spray and Wait Routing Algorithm Based on Stable Transmission Capacity Evaluation of Nodes in Opportunistic Network

In opportunistic network, the regular connectivity of nodes and their individual conditions significantly influence message transmission. To address this, we propose an improved spray and wait routing algorithm based on stable transmission capacity evaluation of nodes (referred to as STCESW), which...

Full description

Saved in:
Bibliographic Details
Main Authors: Feng Huang, Jianqun Cui, Yanan Chang, Tong Wang, Min Wang, Yi Yang
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:http://dx.doi.org/10.1155/2024/7471329
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In opportunistic network, the regular connectivity of nodes and their individual conditions significantly influence message transmission. To address this, we propose an improved spray and wait routing algorithm based on stable transmission capacity evaluation of nodes (referred to as STCESW), which is derived from traditional Prophet and spray and wait algorithms but surpasses them. STCESW incorporates network models that consider node connection stability and transmission capacity, aiming to enhance the update and punishment formulas for node delivery probability. Furthermore, it combines the residual message buffer size of nodes with the angle between motion directions of nodes to determine more efficient and extensive message spraying in the network. The simulation results clearly indicate that STCESW significantly outperforms the other three enhanced algorithms in both SPMBM and RWP. It demonstrates its robust performance in terms of delivery probability, showing an increase ranging from 2% to 87% across diverse node buffer sizes or simulation time intervals. Additionally, it compromises slightly on delivery latency while maintaining relatively stable message latency and buffer time.
ISSN:1550-1477