Improving QoS-based Routing by Limiting Interference in Lossy Wireless Sensor Networks

Li, Shuang; Lim, Alvin; Liu, Cong

doi:10.5121/ijwmn.2010.2404

Cited by 4 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are various issues in WSN such as routing, node localization, node energy efficiency, time synchronization, load balancing, and security [3,4,5,6]. Routing is the main element that needs to be focused to minimize latency, minimize energy consumption of sensor nodes, maximize throughput, and maximize the network lifetime of the WSN system [7,8]. One of the main challenges in WSN is to find the optimal path to submit packets from the source node to the destination node.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Ant-Based Routing for Improving Performance of Wireless Sensor Network

Nasir

Ku-Mahamud

Kamioka

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

Routing packets from the source node to the destination node in wireless sensor networks WSN 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 three (3) other common algorithms in static WSN environment in terms of throughput, energy consumption and energy efficiency which will result to reduction of packet loss rate during packet routing and increase of network lifetime.

show abstract