TY - JOUR
T1 - Enhanced ant-based routing for improving performance of wireless sensor network
AU - Abdul Nasir, Husna Jamal
AU - Ku-Mahamud, Ku Ruhana
AU - Kamioka, Eiji
N1 - Funding Information:
The authors wish to thank the Ministry of Higher Education Malaysia in funding this study under the Trans Disciplinary Research Grant Scheme, S/O code 13164 and Research and Innovation Management Centre, Universiti Utara Malaysia for the administration of this study.
PY - 2017
Y1 - 2017
N2 - Routing packets from the source node to the destination node in wireless sensor network is complicated due to the distributed and heterogeneous nature of sensor nodes. An ant colony system algorithm for packet routing in WSN that focuses on a pheromone update technique is proposed in this paper. The proposed algorithm will determine the best path to be used in the submission of packets while considering the capacity of each sensor node such as the remaining energy and distance to the destination node. Global pheromone update and local pheromone update are used in the proposed algorithm with the aim to distribute the packets fairly and to prevent the energy depletion of the sensor nodes. Performance of the proposed algorithm has outperformed five (5) other common algorithms in static WSN environment in terms of throughput, success rate, packet loss rate, energy consumption and energy efficiency. Overall, the proposed algorithm can lead to reduction of packet loss rate during packet routing and increase of network lifetime.
AB - Routing packets from the source node to the destination node in wireless sensor network is complicated due to the distributed and heterogeneous nature of sensor nodes. An ant colony system algorithm for packet routing in WSN that focuses on a pheromone update technique is proposed in this paper. The proposed algorithm will determine the best path to be used in the submission of packets while considering the capacity of each sensor node such as the remaining energy and distance to the destination node. Global pheromone update and local pheromone update are used in the proposed algorithm with the aim to distribute the packets fairly and to prevent the energy depletion of the sensor nodes. Performance of the proposed algorithm has outperformed five (5) other common algorithms in static WSN environment in terms of throughput, success rate, packet loss rate, energy consumption and energy efficiency. Overall, the proposed algorithm can lead to reduction of packet loss rate during packet routing and increase of network lifetime.
KW - Ant colony optimization
KW - Packet routing
KW - Pheromone update technique
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85038248448&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85038248448&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85038248448
SN - 2076-0930
VL - 9
SP - 386
EP - 392
JO - International Journal of Communication Networks and Information Security
JF - International Journal of Communication Networks and Information Security
IS - 3
ER -