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Weighted high priority packet transmission using ozmos bio-inspired mechanism for traffic load distribution (WH-DTO) in WSNs

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Abstract

Routing of critical or unusual packets from source to sink nodes without packet drops is a challenging task in Wireless Sensor Networks (WSNs). Critical or high priority packets carry sensitive data that requires prompt delivery to sink node under emergency situations. Congestion may occur even after setting packet priority and routing high priority packets to sink. In order to preserve critical data reaching sink, priority setting of queue buffer is carried out with traffic load balancing in the MAC and transport layers. The existing congestion control algorithms throw light on rate control and resource control techniques with absence of works done on effectively routing critical packets to sink. Limited works are carried out to route highly sensitive packets from transport layer to sink by bio-inspired packet load distribution. The proposed WH-DTO mechanism enables priority allocation of sensed packets from Cluster Members (CMs) to Cluster Heads (CHs) and from CHs to sink node. The data prioritized packets are routed via relay nodes in clusters by following a bio-inspired mechanism for packet load distribution. The Ozmos technique follows osmosis process to balance packet load from a highly congested node region to a less congested node. Three types of agents operate on nodes namely alert, osmosis and relocation agents to boost even traffic distribution in network nodes. The proposed work is carried on ns3-testbed. WH-DTO is tested with existing algorithms such as EMA-PRDBS, WPDDRC, CSTP-MAC and OH_BAC and observed to achieve 28.5% efficiency in data delivery of high priority packets and 32% increase in network throughput.

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Acknowledgements

We acknowledge Suez Canal University, Egypt for supporting this study.

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Correspondence to G. Sangeetha.

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Sangeetha, G., Vijayalakshmi, M. Weighted high priority packet transmission using ozmos bio-inspired mechanism for traffic load distribution (WH-DTO) in WSNs. Wireless Netw 29, 29–45 (2023). https://doi.org/10.1007/s11276-022-03090-x

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