An exact closed-form formula of collision probability in diverse multiple access communication systems with frame slotted aloha protocol

Abstract For diverse multiple access communication systems based on frame slotted aloha (FSA) protocol, it is important to analyze collision probability for the system performance evaluation. As shown in the literature, for general settings, it is difficult to derive an exact and closed-form solution for collision probability without approximation. Recently, an exact solution based on generic analytical approach (GAA) [31] has been proposed, yet its numerical computation will become difficult when the number of slots is larger than 16. In this paper, we develop an exact closed-form formula (ECFF) for collision probability that can not only overcome the computational deficiency of GAA in the presence of a large number of slots, but also reduce the computation complexity of collision probability. Surprisingly, by introducing a differentiation operator to form a hybrid recursive equation and applying various algebraic properties of Laplace transform and Z transform, the final collision probability can be represented by a compact double summation. Accuracy of the ECFF and comparison with the GAA have been studied by Monte Carlo simulation.

[1]  Vladimir S. Crnojevic,et al.  Cooperative Slotted Aloha for Multi-Base Station Systems , 2014, IEEE Transactions on Communications.

[2]  In-Hang Chung,et al.  An Exact Combinatorial Analysis for the Performance Evaluation of Framed Slotted Aloha Systems with Diversity Transmission Over Erasable Wireless Channels , 2013, Wirel. Pers. Commun..

[3]  Jörg Robert,et al.  A Closed-Form Solution for ALOHA Frame Length Optimizing Multiple Collision Recovery Coefficients’ Reading Efficiency , 2018, IEEE Systems Journal.

[4]  M. Victoria Bueno-Delgado,et al.  Multiframe Maximum-Likelihood Tag Estimation for RFID Anticollision Protocols , 2011, IEEE Transactions on Industrial Informatics.

[5]  Markus Rupp,et al.  Slot-wise maximum likelihood estimation of the tag population size in FSA protocols , 2010, IEEE Transactions on Communications.

[6]  Wen-Tzu Chen,et al.  An Accurate Tag Estimate Method for Improving the Performance of an RFID Anticollision Algorithm Based on Dynamic Frame Length ALOHA , 2009, IEEE Transactions on Automation Science and Engineering.

[7]  Rabab Kreidieh Ward,et al.  Probabilistic Analysis and Correction of Chen's Tag Estimate Method , 2011, IEEE Transactions on Automation Science and Engineering.

[8]  Yejun He,et al.  An ALOHA-based improved anti-collision algorithm for RFID systems , 2013, IEEE Wireless Communications.

[9]  Petar Šolić,et al.  Energy Efficient Tag Estimation Method for ALOHA-Based RFID Systems , 2014, IEEE Sensors Journal.

[10]  Frank Yeong-Sung Lin,et al.  Efficient Estimation and Collision-Group-Based Anticollision Algorithms for Dynamic Frame-Slotted ALOHA in RFID Networks , 2010, IEEE Transactions on Automation Science and Engineering.

[11]  Tae-Jin Lee,et al.  Accurate tag estimation for dynamic framed-slotted ALOHA in RFID systems , 2010, IEEE Communications Letters.

[12]  Syed Muhammad Anwar,et al.  Dynamic Frame Sizing with Grouping Slotted Aloha for UHF RFID Networks , 2013 .

[13]  Qiaoling Tong,et al.  Bayesian estimation in dynamic framed slotted ALOHA algorithm for RFID system , 2012, Comput. Math. Appl..

[14]  Hui Wang,et al.  Group improved enhanced dynamic frame slotted ALOHA anti-collision algorithm , 2014, The Journal of Supercomputing.

[15]  Der-Jiunn Deng,et al.  Optimal Dynamic Framed Slotted ALOHA Based Anti-collision Algorithm for RFID Systems , 2011, Wirel. Pers. Commun..

[16]  Zornitza Genova Prodanoff Optimal frame size analysis for framed slotted ALOHA based RFID networks , 2010, Comput. Commun..

[17]  Chengpo Mu,et al.  A New Dynamic Frame Slotted ALOHA Algorithm Based on Collision Factor , 2014 .

[18]  Wen-Tzu Chen Optimal Frame Length Analysis and an Efficient Anti-Collision Algorithm With Early Adjustment of Frame Length for RFID Systems , 2016, IEEE Transactions on Vehicular Technology.

[19]  Yu Zeng,et al.  Bayesian Tag Estimate and Optimal Frame Length for Anti-Collision Aloha RFID System , 2010, IEEE Transactions on Automation Science and Engineering.

[20]  Petar Solic,et al.  Early Frame Break Policy for ALOHA-Based RFID Systems , 2016, IEEE Transactions on Automation Science and Engineering.

[21]  Yu Zeng,et al.  Binary Tree Slotted ALOHA for Passive RFID Tag Anticollision , 2013, IEEE Transactions on Parallel and Distributed Systems.

[22]  Wonjun Lee,et al.  A Time-Optimal Anti-collision Algorithm for FSA-Based RFID Systems , 2011 .

[23]  Kazi Atiqur Rahman,et al.  Extended sliding frame R-Aloha: Medium access control (MAC) protocol for mobile networks , 2012, Ad Hoc Networks.

[24]  Ching-Cheng Tien,et al.  Evaluation for the Probability of Collision in Framed Slotted Aloha Systems , 2016, ICADIWT.

[25]  Stephen S. Rappaport,et al.  Diversity reservation ALOHA , 1992 .

[26]  In-Hang Chung,et al.  An accurate analytical formula for the essential joint probability of framed slotted aloha protocols , 2013, J. Frankl. Inst..

[27]  Paolo Castiglione,et al.  Pseudo-Random ALOHA for Enhanced Collision-Recovery in RFID , 2013, IEEE Communications Letters.

[28]  Anthony Ephremides,et al.  An exact analysis and performance evaluation of framed ALOHA with capture , 1989, IEEE Trans. Commun..

[29]  Andrea Zanella,et al.  Estimating Collision Set Size in Framed Slotted Aloha Wireless Networks and RFID Systems , 2012, IEEE Communications Letters.