PSFQ: a reliable transport protocol for wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
ESRT: event-to-sink reliable transport in wireless sensor networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Information assurance in sensor networks
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards
Computer Communications
Editorial: On current areas of interest in wireless sensor networks designs
Computer Communications
Exploiting the sensing relevancies of source nodes for optimizations in visual sensor networks
Multimedia Tools and Applications
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Reliable data transmission in a wireless sensor network is one of the most significant factors in order to guarantee dependable and efficient sensor data delivery. As sensor network applications diversify and increase, the transmission reliability of sensor data is of uppermost importance. In this paper, we propose a hybrid hop-by-hop reliable approach based on IEEE 802.15.4, which has adaptive link control and enhanced hop-by-hop reliability. The adaptive link control scheme considers the packet's application type and the destination's link status. The proposed hybrid hop-by-hop approach selects an optimized MAC transmission state of related parameters, followed by an additional operation of finding alternative paths for a reliable transmission. In addition, a nodal caching and one hop acknowledgement schemes are used for enhancing hop-by-hop reliability further. We evaluated the proposed approach using NS-2 and C code simulation. Compared with the IEEE 802.15.4 MAC scheme, the simulation results show that the proposed approach is much more robust and reliable in the large number of hops and highly error-prone situation. Finally, we showed our own sensor H/W platform and analysis tool.