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Simulation Analysis of IEEE 802.15.4 Non-beacon Mode at Varying Data Rates

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Abstract

IEEE 802.15.4 standard is designed for low power and low data rate applications with high reliability. It operates in beacon enable and non-beacon enable modes. In this work, we analyze delay, throughput, load, and end-to-end delay of nonbeacon enable mode. Analysis of these parameters are performed at varying data rates. Evaluation of non beacon enabled mode is done in a 10 node network. We limit our analysis to non beacon or unslotted version because, it performs better than other. Protocol performance is examined by changing different Medium Access Control (MAC) parameters. We consider a full size MAC packet with payload size of 114 bytes. In this paper we show that maximum throughput and lowest delay is achieved at highest data rate.

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... In the related work discussed above, no author has discussed and analyzed the behavior of both the physical and MAC layer. In [13], [14], [15], authors present the two models that mimic the physical and MAC layer characteristics. The behavior of the station in BE n and N BE n in terms of link reliability, throughput with different data rates, end-to-end delay, average wait time, and failure probability with offered load is calculated and compared with and without physical model. ...
... So, until now each paper has discussed different parameters of IEEE 802. 15 In BE n mode, communication is centrally controlled by the coordinator node. Beacon messages with different time intervals are used to synchronize and associate the attached devices. ...
... The IEEE 802.15.4 working group has proposed different standards having different data rates and specifications for WPANs. ...
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... The two main variables to regulate the behavior of channel access algorithm are: BE, which is the current backoff exponent, and NB, used to count the number of backoffs. Detailed algorithm can be seen in many works (Buratti and Verdone, 2009;Kwak et al., 2005;Latré et al., 2006;Lauwens et al., 2010;Chaari and Kamoun, 2011;Zhu et al., 2011;Abbas et al., 2012). In our previous work, we performed an schedulability analysis with strict real-time constraints and synchronous mode of the IEEE 802.15.4 protocol (Martinez, 2009;Martínez et al., 2011); nevertheless, one of our main goals in this work is to provide a strategy for addressing systems highly scalable and easy network configuration, but giving a fulfillment of real-time constraints imposed by the control system. ...
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... In the single-layer network protocol optimization strategy, independent functional layers serve as the analysis or optimization objects, for instance, effect of the parameter setting and changes in data packet rate of the MAC layer on the network performance under the nonbeacon mode [16], energy management routing approach using Dijkstra's algorithm and software agents [17], and so forth. ...
... Node.Send Data(Packet); (1) if Node.type == SOURCE then (2) Node.Send Data(Packet); (3) if Node.neighbour has CoordinateNode then (4) Node.previous = CoordinateNode; (5) Transpond(Packet); (6) else (7) Node.previous = SelectNode From Routing(); (8) Transpond(Packet); (9) end if (10) else (11) if Node.type == COORDINATE then (12) Node.Receive Data(Packet); (13) else (14) Node.address = PanNode.address; (15) Transpond(Packet); (16) end if (17) end if Algorithm 2: Data transmission process of sensor nodes. When other nodes in the network receive RERR packets, it is required to judge (1) whether its own top count is less than that of the node that transmits RERR packets; (2) whether its previous hop node has the same address with the failed node. ...
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... The slotted CSMA/CA backoff algorithm is based on mainly two variables that correspond to: BE , which is the current backoff exponent, and NB , which is used to count the number of backoffs. The detailed algorithm can be seen in many works [31][32][33][34][35][36][37]. In our previous work, we performed an analysis of schedulability with strict real-time constraints and the synchronous mode of the 802.15.4 protocol [13,20]. ...
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... For this purpose, we plan to extend our work to support dense networks more efficiently. Other works including [1], [8], [14], and [18] have proposed energy-efficient protocols without considering dense networks. Hence, the achievement of energy efficiency in dense network is a new challenge. ...
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