A Multipath Routing Algorithm for Wireless Sensor Networks

2006 ◽  
pp. 438-446 ◽  
Author(s):  
Jinglun Shi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Algorithm ◽  
Multipath Routing ◽  
Wireless Sensor

scholarly journals Multipath Routing Based on Genetic Algorithm in Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Shuang Wang
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Networks ◽  
Fault Tolerance ◽  
Sensor Networks ◽  
Fitness Function ◽  
Routing Algorithm ◽  
Multipath Routing ◽  
Base Station ◽  
Wireless Sensor ◽  
Routing Scheme

The two most important factors that must be considered in the wireless sensor networks are energy efficiency and fault tolerance. Multipath routing is an effective method to improve the fault tolerance in wireless sensor networks. By taking the energy consumption into consideration, in this paper, a multipath routing algorithm for the wireless sensor networks based on the genetic algorithm is proposed. The proposed algorithm computes the fitness function by using the distance between nodes in the network and then generates the routing scheme at the base station. The routing scheme is shared with all the nodes of the entire network, to realize the multipath routing for each node. Finally, the simulation experiment is used to verify the validity of our method, and the results show that the routing method in this paper has a better effect.

Cluster-Based Multipath Routing Algorithm of Ant Colony System for Wireless Sensor Networks

2014 ◽  
Vol 945-949 ◽  
pp. 2394-2397
Author(s):  
Jun Ye Zhang ◽  
Dong Ya Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Dynamic Optimization ◽  
Routing Algorithm ◽  
Multipath Routing ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Self Organization ◽  
Optimal Routing ◽  
Ant Colony System

Due to the special demand of energy control and balancing the energy of nodes in wireless sensor networks，multipath routing based on ant colony system(MACS)was proposed. The algorithm utilizes the self-organization，self-adaptability and dynamic optimization capabilities of the ant colony to find the optimal routing and suboptimal routing from sources to Sink．Simulation results show the algorithm balances energy consumption of nodes and extends network lifetime effectively．

Sign in / Sign up

Export Citation Format

Share Document