Using robot mobility to exploit multipath fading
IEEE Wireless Communications
Competitive wireless access for data streaming over vehicle-to-roadside communications
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Proceedings of the 6th ACM workshop on QoS and security for wireless and mobile networks
QoS-aware MAC protocols for wireless sensor networks: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cooperative STBC with fuzzy election applied to surveillance wireless video sensor networks
International Journal of Communication Networks and Distributed Systems
Cooperative Space-Time Block Codes for Wireless Video Sensor Networks
Wireless Personal Communications: An International Journal
Online learning of timeout policies for dynamic power management
ACM Transactions on Embedded Computing Systems (TECS)
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Recent technological advances in microelectronics and nano-systems technologies have made it feasible to equip wireless sensor nodes with small low-cost cameras to capture and transmit video. Wireless video sensor networks are gaining popularity due to numerous potential applications such as video surveillance, environmental and habitat monitoring, and so on. However, due to the limited battery available in wireless video sensor nodes, provisioning of QoS in such a network is a challenging task. We provide a survey on the major issues related to QoS provisioning in wireless video sensor networks and possible solution approaches. A dynamic power management framework is proposed for a wireless video sensor node to improve energy saving performance so that the lifetime of the sensor node can be increased. This framework considers the video traffic arrival process in the sensor node, the sleep and wakeup processes in the camera and wireless transceiver electronics, the queue status, and the wireless channel condition. Performance analysis results show that the proposed mechanism can achieve considerable energy saving in a sensor node while providing a target level of QoS performance.