Infective flooding in low-duty-cycle networks, properties and bounds

Baldesi, Luca; Maccari, Leonardo; Cigno, Renato Lo

doi:10.1016/j.comcom.2019.12.044

Cited by 2 publications

(1 citation statement)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Baldesi et al [23] determine the original hypothetical structure for better allocation of resources to flood information in mesh networks with low obligation cycling without the need to fabricate a distribution tree or some other conveyance overlay. This technique just necessitates nearby computations based on each hub area.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Routing Algorithm for WSN-IoT Network

Deepthi¹,

Khan²,

Acharjee³

2023

ISI

View full text Add to dashboard Cite

In various domains, to enable reaction and detection of anomalies IoT (Internet of Things) have infrastructure in which significant sensory data gathering method is important because IoT nodes has limited computational capacity and energy. Range rather than sensory data accurate value which is fascinating to domain applications, range is expressed as sensory data category. Redundancy of data is discouraged by the routing algorithm and current data transfer, which decreases energy, bandwidth and memory usage. Between energy consumption and security level, there is tradeoff. Security level is nothing but it is intensive computational operations. For Secure transmission of data and to minimize consumption of energy in IoT-WSN networks, this paper proposes Spanning Tree Based Flooding Mechanism with Cooperative Game Theory (STBFM-CGT) method for efficient data transmission. To minimize consumption of energy in IoT-WSN networks, this paper proposes Spanning Tree Based Flooding Mechanism with Cooperative Game Theory (STBFM-CGT) method for efficient data transmission. For synchronization purpose, sensory data of IoT is routed and predicted through data prediction model in cloud. When compared with state-of-art method by considering packet delivery ratio (PDR), network lifetime, throughput and energy consumption, this method achieves better results. As a result, proposed method achieves 23.8% energy consumption, 53.2% network lifetime, 75.4% of PDR and 76.6% of throughput.

show abstract

Section: Related Workmentioning

confidence: 99%

Energy Efficient Routing Algorithm for WSN-IoT Network

Deepthi¹,

Khan²,

Acharjee³

2023

ISI

View full text Add to dashboard Cite

show abstract

Analysis of Rainwater Pipelines for Local Flooding Mitigation

Zhang¹,

Yang

Huang

et al. 2020

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

PCSWMM was used to perform hydrodynamic simulation. Effect of water level, slope and diameter of rainwater pipelines on local flooding was investigated at free discharge and submerged discharge respectively. Bernoulli equation was applied to theoretical analysis. Results showed that increase of pipe slope and diameter could improve drainage capacity of rainwater pipes at free discharge. Rising water level seriously restricted drainage capacity of rainwater pipes. However, at submerged discharge, pipe slope promoted the construction cost, but it had no effect on its drainage capacity. With the increase of diameter, drainage capacity of rainwater pipes increased. Main factors on drainage capacity of pipes were water head different between upstream and downstream, pipe diameter and roughness coefficient. Hence, it’s recommended that urban drainage system should properly control water level and increase pipe diameter at submerged discharge. The results are important implications for rainwater pipeline design to prevent local flooding.

show abstract

Infective flooding in low-duty-cycle networks, properties and bounds

Cited by 2 publications

References 41 publications

Energy Efficient Routing Algorithm for WSN-IoT Network

Energy Efficient Routing Algorithm for WSN-IoT Network

Analysis of Rainwater Pipelines for Local Flooding Mitigation

Contact Info

Product

Resources

About