Learning automata: an introduction
Learning automata: an introduction
CODA: congestion detection and avoidance in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
An adaptive virtual queue (AVQ) algorithm for active queue management
IEEE/ACM Transactions on Networking (TON)
Congestion control and fairness for many-to-one routing in sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Wireless Sensor Networks for Home Health Care
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
A new priority based congestion control protocol for Wireless Multimedia Sensor Networks
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
LACAS: learning automata-based congestion avoidance scheme for healthcare wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
ECODA: enhanced congestion detection and avoidance for multiple class of traffic in sensor networks
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Wireless sensor networks for healthcare: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Fundamentals of Queueing Theory
Fundamentals of Queueing Theory
Traffic management in wireless sensor networks: Decoupling congestion control and fairness
Computer Communications
Upstream congestion control in wireless sensor networks through cross-layer optimization
IEEE Journal on Selected Areas in Communications
A survey of transport protocols for wireless sensor networks
IEEE Network: The Magazine of Global Internetworking
Transmission of patient vital signs using wireless body area networks
Mobile Networks and Applications - Special issue on Wireless and Personal Communications
Review: Wireless Sensor Network transport protocol: A critical review
Journal of Network and Computer Applications
An Adaptive BLUE Algorithm for Active Queue Management
ICECC '12 Proceedings of the 2012 International Conference on Electronics, Communications and Control
Wireless Personal Communications: An International Journal
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The application of Wireless Sensor Networks (WSNs) in healthcare is dominant and fast growing. In healthcare WSN applications (HWSNs) such as medical emergencies, the network may encounter an unpredictable load which leads to congestion. Congestion problem which is common in any data network including WSN, leads to packet loss, increasing end-to-end delay and excessive energy consumption due to retransmission. In modern wireless biomedical sensor networks, increasing these two parameters for the packets that carry EKG signals may even result in the death of the patient. Furthermore, when congestion occurs, because of the packet loss, packet retransmission increases accordingly. The retransmission directly affects the lifetime of the nodes. In this paper, an Optimized Congestion management protocol is proposed for HWSNs when the patients are stationary. This protocol consists of two stages. In the first stage, a novel Active Queue Management (AQM) scheme is proposed to avoid congestion and provide quality of service (QoS). This scheme uses separate virtual queues on a single physical queue to store the input packets from each child node based on importance and priority of the source's traffic. If the incoming packet is accepted, in the second stage, three mechanisms are used to control congestion. The proposed protocol detects congestion by a three-state machine and virtual queue status; it adjusts the child's sending rate by an optimization function. We compare our proposed protocol with CCF, PCCP and backpressure algorithms using the OPNET simulator. Simulation results show that the proposed protocol is more efficient than CCF, PCCP and backpressure algorithms in terms of packet loss, energy efficiency, end-to-end delay and fairness.