An Efficient and Reliable Routing Protocol Using Bio-Inspired Techniques for Congestion Control in WSN
Title | An Efficient and Reliable Routing Protocol Using Bio-Inspired Techniques for Congestion Control in WSN |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Kaur, M., Malik, A. |
Conference Name | 2018 4th International Conference on Computing Sciences (ICCS) |
Date Published | Aug. 2018 |
Publisher | IEEE |
ISBN Number | 978-1-5386-8025-4 |
Keywords | AODV protocol, artificial bee colony algorithm., bioinspired techniques, congested resources, Congestion Control, congestion free path, congestion problem, congestion recognition, coupled congestion control, cuckoo search algorithm, delays, network delay, network performance, Packet loss, pubcrawl, resilience, Resiliency, Routing, Routing Protocol, Routing protocols, Scalability, telecommunication congestion control, Wireless Sensor Network, Wireless sensor networks |
Abstract | In wireless sensor networks (WSNs), congestion control is a very essential region of concern. When the packets that are coming get increased than the actual capacity of network or nodes results into congestion in the network. Congestion in network can cause reduction in throughput, increase in network delay, and increase in packet loss and sensor energy waste. For that reason, new complex methods are mandatory to tackle with congestion. So it is necessary to become aware of congestion and manage the congested resources in wireless sensor networks for enhancing the network performance. Diverse methodologies for congestion recognition and prevention have been presented in the previous couple of years. To handle some of the problems, this paper exhibits a new technique for controlling the congestion. An efficient and reliable routing protocol (ERRP) based on bio inspired algorithms is introduced in this paper for solving congestion problem. In the proposed work, a way is calculated to send the packets on the new pathway. The proposed work has used three approaches for finding the path which results into a congestion free path. Our analysis and simulation results shows that our approach provides better performance as compared to previous approaches in terms of throughput, packet loss, delay etc. |
URL | https://ieeexplore.ieee.org/document/8611027 |
DOI | 10.1109/ICCS.2018.00009 |
Citation Key | kaur_efficient_2018 |
- network performance
- wireless sensor networks
- Wireless Sensor Network
- telecommunication congestion control
- Scalability
- Routing protocols
- Routing Protocol
- Routing
- Resiliency
- resilience
- pubcrawl
- Packet loss
- AODV protocol
- network delay
- delays
- cuckoo search algorithm
- coupled congestion control
- congestion recognition
- congestion problem
- congestion free path
- Congestion Control
- congested resources
- bioinspired techniques
- artificial bee colony algorithm.