Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Medium access control in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Priority-Based Medium Access Control Protocol for Providing QoS in Wireless Sensor Networks
IEICE - Transactions on Information and Systems
QoS-aware MAC protocols for wireless sensor networks: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Mobile Networks and Applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
International Journal of Sensor Networks
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WSNs usually combine periodic readings with messages generated by unexpected events. When an event is detected by a group of sensors, several notification messages are sent simultaneously to the sink, resulting in sporadic increases of the network load. Additionally, these messages sometimes require a lower latency and higher reliability as they can be associated to emergency situations. Current MAC protocols for WSNs are not able to react rapidly to these sporadic changes on the traffic load, mainly due to the duty cycle operation, adopted to save energy in the sensor nodes, resulting in message losses or high delays that compromise the event detection at sink. In this work, two main contributions are provided: first, the collective QoS definitions are applied to measure event detection capabilities and second, a novel traffic-aware Low Power Listening MAC to improve the network response to sporadic changes in the traffic load is presented. Results show that the collective QoS in terms of collective throughput, latency and reliability are improved maintaining a low energy consumption at each individual sensor node.