Title :
A Stochastic Time-Domain Model for Burst Data Aggregation in IEEE 802.15.4 Wireless Sensor Networks
Author :
Haghighi, Mohammad Sayad ; Yang Xiang ; Varadharajan, Vijay ; Quinn, Barry
Author_Institution :
Sch. of Inf. Technol., Deakin Univ., Burwood, VIC, Australia
Abstract :
In many network applications, the nature of traffic is of burst type. Often, the transient response of network to such traffics is the result of a series of inter-dependant events whose occurrence prediction is not a trivial task. The previous efforts in IEEE 802.15.4 networks often followed top-down approaches to model those sequences of events, i.e., through making top-view models of the whole network, they tried to track the transient response of network to burst packet arrivals. The problem with such approaches was that they were unable to give station-level views of network response and were usually complex. In this paper, we propose a non-stationary analytical model for the IEEE 802.15.4 slotted CSMA/CA medium access control (MAC) protocol under burst traffic arrival assumption and without the optional acknowledgements. We develop a station-level stochastic time-domain method from which the network-level metrics are extracted. Our bottom-up approach makes finding station-level details such as delay, collision and failure distributions possible. Moreover, network-level metrics like the average packet loss or transmission success rate can be extracted from the model. Compared to the previous models, our model is proven to be of lower memory and computational complexity order and also supports contention window sizes of greater than one. We have carried out extensive and comparative simulations to show the high accuracy of our model.
Keywords :
Zigbee; access protocols; stochastic processes; telecommunication traffic; time-domain analysis; transient response; wireless sensor networks; IEEE 802.15.4 wireless sensor networks; MAC protocol; bottom-up approach; burst data aggregation; burst packet arrivals; burst traffic arrival assumption; computational complexity order; contention window sizes; interdependant events; network response; network-level metrics; nonstationary analytical model; packet loss; slotted CSMA-CA medium access control protocol; station-level stochastic time-domain method; station-level views; top-down approaches; top-view models; transient response; transmission success rate; Computational modeling; IEEE 802.15 Standards; Mathematical model; Media Access Protocol; Multiaccess communication; IEEE 802.15.4; Sensor networks; batch traffic arrival; burst traffic; medium access control (MAC);
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.2013.2296773