Performability of Retransmission of Loss Packets in Wireless Sensor Networks

  •  Imeh Umoren    
  •  Daniel Asuquo    
  •  Onukwugha Gilean    
  •  Mfon Esang    


Latest progress in wireless communication technology has enabled the development of low-cost sensor networks with major concern on quality of service (QoS) provisioning. Wireless sensor networks (WSNs) can be adopted in various application domains but each use is likely to pose peculiar technical issues. Basically, we demonstrate that congestion, packet loss and delay have strong influence on the performance of WSNs. In order to implement a realistic sensor network policy to resolve the problem of data delay and avoidance of collisions that lead to packet losses, we develop a system that guarantees QoS in WSNs using Fuzzy Logic Controller (FLC) for sensitivity analysis of the effect of adaptive forward error correction (AFEC). The AFEC approach improves the throughput by dynamically tuning FEC subject to the nature of wireless channel loss thereby optimizing throughput, sensor power utilization, while minimizing traffic retransmission, bit error rate (BER), and energy consumption. Basically, parameters such as packet delivery ratio, packet loss, delay, error rate, and throughput are appraised. The system has a spread procedure which is able to schedule the transmission of the nodes in order to have a data flow that converges from the furthest nodes toward the fusion centre. The key benefit of the scenario showed that, after extensive simulation using realistic field data, the procedure permits a practical approach to obtaining optimal solution to loss packets retransmission problem in WSNs giving a strong improvement on QoS provisioning.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: quarterly

Journal Metrics

WJCI (2021): 0.557

Impact Factor 2021 (by WJCI):  0.304

h-index (December 2022): 40

i10-index (December 2022): 179

h5-index (December 2022): N/A

h5-median(December 2022): N/A

( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )