Optimization of Efficiency and Energy Consumption in p-Persistent CSMA-Based Wireless LANs
IEEE Transactions on Mobile Computing
A fair and energy-efficient topology control protocol for wireless sensor networks
CASEMANS '08 Proceedings of the 2nd ACM international conference on Context-awareness for self-managing systems
Localized power-aware routing in linear wireless sensor networks
CASEMANS '08 Proceedings of the 2nd ACM international conference on Context-awareness for self-managing systems
Energy Model for H2S Monitoring Wireless Sensor Network
CSE '08 Proceedings of the 2008 11th IEEE International Conference on Computational Science and Engineering
Proceedings of the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
Performance modelling of IEEE 802.11 DCF using equilibrium point analysis
International Journal of Wireless and Mobile Computing
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Stability and performance analysis of randomly deployed wireless networks
Journal of Computer and System Sciences
Analysis of IEEE 802.11 DCF for ad hoc networks under nonsaturation conditions
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
On the exact expression for single-stage CSMA/CA's idle period distribution
Computers & Mathematics with Applications
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A large number of the MAC protocols proposed for establishing wireless sensor networks are based on the 802.11 standard. The trade-off in these protocols is the control packet overhead and the retransmission cost due to collision without it. In this paper we evaluate the collision probability of a CSMA/CA MAC protocol in an unsaturated situation as a function of nodes' sampling and transmission rates. We provide an accurate and comprehensive analytical model in which a finite number of nodes exist. We assume an ideal channel condition, independent collision probability of packets as well as infrequent communication between sensor nodes. We will demonstrate that the collision probability changes from 0 to 0.22 as the sampling rate changes from 0 to 0.94Mbps. Moreover, we will demonstrate that collision only begins after the sampling rate reaches 0.31Mbps, which implies that for a sampling rate below this threshold, the control overhead can be avoided by altogether avoiding the collision avoidance mechanism.