Energy-efficient collision-free medium access control for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
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
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Optimizing the Association Procedure for Low-Power 802.15.4 Nonbeacon Sensor Networks
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
Analytical model of IEEE 802.15.4 non-beacon mode with download traffic by the piggyback method
NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
Queue-exchange mechanism to improve the QoS in a multi-stack architecture
Proceedings of the 8th ACM Symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Throughput and delay limits of chirp spread spectrum-based IEEE 802.15.4a
International Journal of Communication Systems
Wireless Personal Communications: An International Journal
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This paper proposes an analytical model of IEEE 802.15.4, which is a standard toward low complexity, low power consumption and low data rate wireless data connectivity. In this paper, we concentrate on the MAC performance of the IEEE 802.15.4 LR-WPAN in a star topology with unslotted CSMA/CA channel access mechanism under non-saturated modes. Our approach is to model stochastic behavior of one device as a discrete time Markov chain model. We believe that many WSN applications would benefit from our analytical model because many applications in WSN generate traffic in non-saturated mode. We obtain five performance measures : throughput, packet delay, number of backoff, energy consumption and packet loss probability. Our results are used to find optimal number of devices satisfying some QoS requirements