Hybrid routing algorithm for wireless sensor networks by using improved genetic algorithm

2017 ◽  
Author(s):  
J. Deny ◽  
A. Sivanesh Kumar ◽  
N. Ragupathi Muthu ◽  
B. Perumal
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Improved Genetic Algorithm ◽  
Hybrid Routing

An Evolutionary Mobility Aware Multi-Objective Hybrid Routing Algorithm for Heterogeneous WSNs

2020 ◽  
pp. 221-237
Author(s):  
Nandkumar Prabhakar Kulkarni ◽  
Neeli Rashmi Prasad ◽  
Ramjee Prasad
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Hybrid Routing ◽  
Multi Objective ◽  
Mobile Wireless Sensor ◽  
Average Energy Consumption ◽  
Hybrid Routing Protocol

Researchers have faced numerous challenges while designing WSNs and protocols in numerous applications. Amongst all sustaining connectivity and capitalizing on the network lifetime is a serious deliberation. To tackle these two problems, the authors have considered Mobile Wireless Sensor Networks (MWSNs). In this paper, the authors put forward an Evolutionary Mobility aware multi-objective hybrid Routing Protocol for heterogeneous wireless sensor networks (EMRP). EMRP selects the optimal path from source node to sink by means of various metrics such as Average Energy consumption, Control Overhead, Reaction Time, LQI, and HOP Count. The Performance of EMRP when equated with Simple Hybrid Routing Protocol (SHRP) and Dynamic Multi-Objective Routing Algorithm (DyMORA) using parameters such as Average Residual Energy (ARE), Delay and Normalized Routing Load. EMRP improves AES by a factor of 4.93% as related to SHRP and 5.15% as related to DyMORA. EMRP has a 6% lesser delay as compared with DyMORA.

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.

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