TY - JOUR
T1 - Enhanced ant colony system for reducing packet loss in wireless sensor network
AU - Nasir, Husna Jamal Abdul
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.
Publisher Copyright:
© 2018 SERSC Australia.
PY - 2018
Y1 - 2018
N2 - Routing packets from source nodes to destination nodes in Wireless Sensor Network (WSN) is complicated due to the heterogeneous nature and distribution of sensor nodes. Packet loss problem in WSN may occur when the sensor node carrying more packets than its capacity. This can affect throughput, energy consumption and success rate of the WSN system. This paper proposes an improved Ant Colony Optimization (ACO) algorithm for packet routing to solve packet loss problem in wireless sensor network. The proposed algorithm is inspired from a variant of ACO which is Ant Colony System (ACS) that consists of local and global pheromone updates to enhance routing path exploration and exploitation. Experimental results showed that the proposed algorithm improved the performance of the proposed ACS algorithm in terms of reducing packet loss and increasing the energy efficiency of sensor nodes.
AB - Routing packets from source nodes to destination nodes in Wireless Sensor Network (WSN) is complicated due to the heterogeneous nature and distribution of sensor nodes. Packet loss problem in WSN may occur when the sensor node carrying more packets than its capacity. This can affect throughput, energy consumption and success rate of the WSN system. This paper proposes an improved Ant Colony Optimization (ACO) algorithm for packet routing to solve packet loss problem in wireless sensor network. The proposed algorithm is inspired from a variant of ACO which is Ant Colony System (ACS) that consists of local and global pheromone updates to enhance routing path exploration and exploitation. Experimental results showed that the proposed algorithm improved the performance of the proposed ACS algorithm in terms of reducing packet loss and increasing the energy efficiency of sensor nodes.
KW - Ant colony system
KW - Packet loss
KW - Packet routing
KW - Wireless sensor network
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U2 - 10.14257/ijgdc.2018.11.1.08
DO - 10.14257/ijgdc.2018.11.1.08
M3 - Article
AN - SCOPUS:85041831155
SN - 2005-4262
VL - 11
SP - 81
EP - 88
JO - International Journal of Grid and Distributed Computing
JF - International Journal of Grid and Distributed Computing
IS - 1
ER -