Scheduling Real-Time Traffic in Underwater Acoustic Wireless Sensor Networks

2016 ◽  
pp. 150-162 ◽  
Author(s):  
Rodrigo Santos ◽  
Javier Orozco ◽  
Matías Micheletto ◽  
Sergio F. Ochoa ◽  
Roc Meseguer ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Wireless Sensor ◽  
Underwater Acoustic ◽  
Real Time Traffic

Traffic Prioritization in Sensor Networks using Bandwidth Scavenging

2011 ◽  
pp. 290-310
Author(s):  
Anthony Plummer ◽  
Mahmoud Taghizadeh ◽  
Subir Biswas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Usage Pattern ◽  
Real Time Traffic ◽  
Access Channel ◽  
Channel Bandwidth ◽  
Traffic Prioritization

This chapter presents a history-based statistical channel access mechanism for enabling traffic prioritization in wireless sensor networks. Prioritized access is realized such that low priority non-real-time sensors can access channel bandwidth that is unused by high priority real-time traffic. The key idea is for the low priority sensor nodes to first observe and statistically model the channel usage pattern by the high priority traffic, then make advantageous probabilistic transmissions so that the non-priority traffic throughput is maximized while protecting the high-priority traffic from disruptions. The chapter details a practical whitespace measurement scheme and presents a channel history based prioritization protocol. The access mechanism is implemented in a TelosB mote-based sensor testbed in which the non-priority motes continually measure the RSSI to infer the channel usage pattern and probabilistically access the channel while different types of traffic are sent by high-priority TelosB motes.

scholarly journals An Enhanced Packet Transmission Framework for Handling Real Time Burst Traffic in Wireless Sensor Networks

2022 ◽  
Author(s):  
Sangeetha Ganesan ◽  
Vijayalakshmi Muthuswamy
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Minimum Weight ◽  
Heavy Traffic ◽  
Packet Transmission ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Network Modelling ◽  
Real Time Traffic

Abstract Congestion control for real time traffic is an important network measure to be handled in case of repeated event triggers, continuous packet re-transmissions, node interference, node deaths and node failures in Wireless Sensor Networks (WSNs). Network modelling for transmission of packets from source node to sink using probabilistic M/Pareto and Poisson processes have been examined in the past. The existing methodologies are deficit in designing a queuing framework considering other network parameters such as energy consumption and delay for alleviating congestion and thereby efficiently routing packets to sink by reducing packet drops. To overcome this fall back, a Minimum Weight Estimation for Mitigating Congestion during Real Time Burst Traffic (MWCBT) framework is proposed. This gives a precautionary solution against heavy traffic occupancy among the interim and sink-neighbouring nodes in WSNs is proposed. Routing of packets using a congestion-free path is required to increase the node lifespan. An optimal M/Pareto stochastic traffic generator is used in combination with traffic factors such as energy and delay to predict amount of traffic across nodes. A simpler congestion prediction mechanism is performed to control the occurrence of heavy-tailed traffic distributions. A torrent weight value for incoming traffic is generated at each node periodically that directs routing of data packets to sink. The devised MWCBT framework supervises real-time traffic congestion and is found to be more optimal than the existing approaches for network traffic modelling. The proposed approach achieves greater packet delivery ratio and less node congestion compared to the existing network modelling techniques.

QoS and energy aware routing for real-time traffic in wireless sensor networks

2006 ◽  
Vol 29 (4) ◽  
pp. 437-445 ◽  
Author(s):  
Abinash Mahapatra ◽  
Kumar Anand ◽  
Dharma P. Agrawal
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Real Time Traffic ◽  
Energy Aware Routing

Real-Time Routing Based on On-Demand Multi-Hop Lookahead in Wireless Sensor Networks

2011 ◽  
Vol E94-B (2) ◽  
pp. 569-572
Author(s):  
Soochang PARK ◽  
Euisin LEE ◽  
Juhyun JUNG ◽  
Sang-Ha KIM
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Wireless Sensor ◽  
On Demand
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