Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE 802.15.4 Low-Rate Wireless Personal Area Networks: Enabling Wireless Sensor Networks
IEEE 802.15.4 Low-Rate Wireless Personal Area Networks: Enabling Wireless Sensor Networks
Analysis of wireless sensor networks for habitat monitoring
Wireless sensor networks
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Grouping Strategy for Solving Hidden Node Problem in IEEE 802.15.4 LR-WPAN
WICON '05 Proceedings of the First International Conference on Wireless Internet
Energy-Efficient Wakeup Scheduling for Maximizing Lifetime of IEEE 802.15.4 Networks
WICON '05 Proceedings of the First International Conference on Wireless Internet
Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks
ECRTS '07 Proceedings of the 19th Euromicro Conference on Real-Time Systems
SAMOS'06 Proceedings of the 6th international conference on Embedded Computer Systems: architectures, Modeling, and Simulation
A study of low level vibrations as a power source for wireless sensor nodes
Computer Communications
Energy-efficient reservation-based medium access control protocol for wireless sensor networks
EURASIP Journal on Wireless Communications and Networking
Hi-index | 0.00 |
ZigBee is one of the most potential standardized technologies for wireless sensor networks (WSNs). Yet, sufficient energy-efficiency for the lowest power WSNs is achieved only in rather static networks. This severely limits the applicability of ZigBee in outdoor and mobile applications, where operation environment is harsh and link failures are common. This paper proposes a network channel beaconing (NCB) algorithm for improving ZigBee performance in dynamic cluster-tree networks. NCB reduces the energy consumption of passive scans by dedicating one frequency channel for network beacon transmissions and by energy optimizing their transmission rate. According to an energy analysis, the power consumption of network maintenance operations reduces by 70%-76% in dynamic networks. In static networks, energy overhead is negligible. Moreover, the service time for data routing increases up to 37%. The performance of NCB is validated by ns-2 simulations. NCB can be implemented as an extension on MAC and NWK layers and it is fully compatible with ZigBee.