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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Journal on Selected Areas in Communications</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Applying data fragmentation in IEEE 802.15.4: modeling and analysis under unsaturated traffic</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Mouloud Atmani</string-name>
          <email>atmanimouloud@yahoo.fr</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Djamil A¨ıssani</string-name>
          <email>djamil aissani@hotmail.com</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yassine Hadjadj-Aoul</string-name>
          <email>yhadjadj@irisa.fr</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>IRISA Laboratory, University of Rennes 1</institution>
          ,
          <addr-line>35042 Rennes</addr-line>
          ,
          <country country="FR">France</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>LaMOS research unit, Faculty of Exact Sciences, University of Bejaia</institution>
          ,
          <addr-line>06000 Bejaia</addr-line>
          ,
          <country country="DZ">Algeria</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2008</year>
      </pub-date>
      <volume>18</volume>
      <issue>3</issue>
      <fpage>3359</fpage>
      <lpage>3371</lpage>
      <abstract>
        <p>The IEEE 802.15.4 standard, which is developed for low rate applications, offers low latency and energy consumption for wireless sensor networks. The use of the standardized slotted Carrier Sense Multiple Access (CSMA/CA), as a channel access mechanism, can, however, lead to a wastage of the bandwidth utilization and an additional transmission delay. This drawback is mainly caused by deferred transmission in the CSMA/CA algorithm at the end of the superframe, when there is not sufficient time to complete the frame transmission. We propose in this paper to fragment a data frame into a short frame and attempt its transmission in the current frame and transmit the remaining frame in the next superframe. The data fragmentation mechanism is modeled using a Markov chains. A non-saturated traffic and acknowledgement transmission are considered in our analysis. The analytical results of the normalized throughput demonstrate the improvement of the bandwidth occupation when using the proposed data fragmentation mechanism in the IEEE 802.15.4 slotted CSMA/CA protocol.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. INTRODUCTION</title>
      <p>
        Before the development of the IEEE 802.15.4
standard, several standards offering high data rates
were proposed for local and personal wireless
area networks (IEEE 802.11, IEEE 802.15.1, etc.).
Such standards were not, however, adapted to
miniature devices with limited energy capacities.
The IEEE 802.15.4 (IEEE std 802.15.4 (2006))
standard was developed and proposed for
LowRate Wireless Personal Area Networks (LR-WPANs)
with low energy resources, such as wireless
sensor networks. The IEEE 802.15.4 defines the
specifications of the physical layer and the Medium
Access Control (MAC) sublayer of the ZigBee stack.
In the MAC sublayer, the IEEE 802.15.4 standard
defines two access modes: non-beacon mode and
beacon mode. In the non-beacon mode, unslotted
CSMA/CA is used for attempting the channel
access. However, slotted CSMA/CA algorithm is
used in the beacon mode. In the beacon mode,
the mode considered in this work, the coordinator
sends regularly beacons frames to delimitate the
superframe and to synchronize the wireless sensors
in the Personal Area Network (PAN). The superframe
contains an active period (for communication) and
an inactive period (for energy conservation). The
active period includes a Contention Access Period
(CAP) and an optional Contention Free Period (CFP)
for deterministic channel accesses. During the CAP
period, the slotted CSMA/CA algorithm is executed
by each node desiring to access the channel.
Several researchers have modeled the slotted
CSMA/CA protocol with the Markov chains, by
referring generally to the Bianchi’s model (
        <xref ref-type="bibr" rid="ref2">Bianchi
(2000)</xref>
        ). A simple model of the slotted CSMA-CA
protocol is given by (Pollin et al (2008)) using
Markov chains. A generalized Markov chain of IEEE
802.15.4 slotted CSMA/CA is given by (Park et
all (2013)). The deferment of the transmission,
when there is not sufficient remaining time in the
CAP to complete the transmission, is modeled and
evaluated by (
        <xref ref-type="bibr" rid="ref3">Rehman et al (2011</xref>
        )).
      </p>
      <p>
        In IEEE 802.11 standard, the fragmentation
technique is implemented and many studies have
mentioned that this technique improves the network
throughput (see, the works of IEEE Part 11 (2007),
        <xref ref-type="bibr" rid="ref5">Yazid et al (2013</xref>
        ) and
        <xref ref-type="bibr" rid="ref6">Li et al (2009</xref>
        )). The authors,
in
        <xref ref-type="bibr" rid="ref7">Yoon, Kim and Ko (2007</xref>
        ), have proposed the
fragmentation mechanism in IEEE 802.15.4 wireless
sensor network to improve the bandwidth utilization.
However, in this work, the risk of data collisions is
possible when a competitive node pulls a backoff
number equal to zero while the transmitter node
attempts to send the remaining frame, in the beginning
of the superframe.
      </p>
      <p>This paper talk about the problem of the deferred
transmission that causes a significant bandwidth
loss in IEEE 802.15.4 wireless sensor networks.
For this reason, we propose to send a short frame
(equal to 18 bytes as defined by IEEE 802.15.4
standard) when a long frame can not be sent due
to an insufficient time in the current superframe.
The data fragmentation mechanism is modeled,
under non saturation traffic with transmission’s
acknowledgment, using a Markov chain. The
analytical results show that the fragmentation
mechanism clearly allows improving the network
performance in terms of throughput.</p>
      <p>The remainder of this paper is organized as
follows. Section 2 gives an overview of the slotted
CSMA/CA. Section 3 presents our motivations for
this work and describes the applied data
fragmentation mechanism in IEEE 802.15.4 slotted CSMA/CA
algorithm. Section 4 presents the proposed
mathematical model based on Markov chains of IEEE
802.15.4 standard with the proposed data
fragmentation mechanism. Section 5 gives a comprehensive
performances analysis of our proposal. Finally, we
conclude in Section 6.</p>
    </sec>
    <sec id="sec-2">
      <title>2. OVERVIEW OF IEEE 802.15.4 SLOTTED</title>
    </sec>
    <sec id="sec-3">
      <title>CSMA/CA</title>
      <p>In this section, we describe the behavior of the IEEE
802.15.4 slotted CSMA/CA protocol. Each node
aiming to transmit a data frame or a control frame,
as indicated in IEEE 802.15.4 standard, initializes
three variables (NB, BE and CW ). The variable NB
describes the number of times that the CSMA/CA
algorithm is executed for attempting to access the
channel (i.e. Number of Backoff). The variable BE
is used to generate a random backoff duration that
a node shall wait before attempting the first carrier
sensing (i.e. Backoff Exponent), its value depend on
the value of BLE (Battery Life Extension) sent by
the PAN coordinator. The variable CW indicates the
number of time that a channel must be clear before
beginning the data transmission (i.e. Contention
Window). Its value is set to two, as shown in figure 1.
Once the three variables are initialized, the node
waits during a period of backoff randomly chosen in
the range [0; 2BE 1]. If the pulled number is greater
than the remaining number of backoff periods in
the CAP, the MAC sublayer shall pause the backoff
countdown at the end of the CAP and resume it at
the start of the CAP in the next superframe.
At the expiration of the random backoff delay,
the MAC sublayer ensures that the remaining
CSMA/CA operations can be undertaken and the
entire transaction can be completed before the end
of the CAP. Two cases are possible:</p>
    </sec>
    <sec id="sec-4">
      <title>Case 1: The remaining time in the CAP is sufficient:</title>
      <p>The MAC sublayer requests the physical layer to
perform two CCA:
1. The channel is assessed to be busy during
one of the CCA: both NB and BE are
incremented by one (BE shall be no more than
macMaxBE), CW is reset to two. If NB is less
than or equal to macMaxCSMABackoffs,
which is equal to 4 by default, a new BE is
pulled randomly in the range [0; 2BE 1]. If
NB is greater than macMaxCSMABackoffs,
the CSMA/CA algorithm shall terminate with a
channel access failure status.
2. The channel is assessed to be idle during the
first CCA: CW is decremented by one and
checked whether it is equal to zero.</p>
      <p>The same procedure is considered for the
second CCA, If CW is equal to zero, the data
frame is transmitted.</p>
    </sec>
    <sec id="sec-5">
      <title>Case 2: The remaining time in CAP is insufficient:</title>
      <p>The transmission will be deferred to the next
superframe and a new slotted CSMA/CA is executed at
the beginning of the CAP, as depicted on the yellow
rectangle of the Figure 1</p>
    </sec>
    <sec id="sec-6">
      <title>3. MOTIVATIONS AND PROPOSAL</title>
      <p>In this section, we give our motivations behind
applying the data fragmentation mechanism in
IEEE 802.15.4 slotted CSMA/CA protocol. Then, we
describe our solution and we give its main interest in
the IEEE 802.15.4 wireless sensor networks.</p>
    </sec>
    <sec id="sec-7">
      <title>3.1. Motivations</title>
      <p>Given the critical nature of the applications in which
the sensor networks are applied, it is important to
optimize the use of all resources (bandwidth, battery,
...) together with the time of communication. As
explained in the section 2, a node using slotted
CSMA/CA to transmit a data frame must estimate
the remaining time in the ion, it sends the frame,
otherwise it differs the transmission for the new
superframe (see figure 2).
The delay caused by the deferred transmission
of a data frame increases more when the size
of a packet increases. The long frame and the
frequent deferments lead to a bandwidth misuse.
These problems can be avoided by applying the
data fragmentation mechanism. Thus, a rational
management of the bandwidth and a minimum time
of transmission will be achieved.</p>
    </sec>
    <sec id="sec-8">
      <title>3.2. Slotted CSMA/CA with data fragmentation</title>
      <p>IEEE 802.15.4 describes two types of data frames:
a long frame (greater than 18 bytes) and a short
frame (less than or equal to 18 bytes). In our
work, we propose to add the following test in the
slotted CSMA/CA algorithm: before deferring the
transmission of a long frame due to insufficient
remaining time in the CAP period, slotted CSMA/CA
checks if the remaining time is sufficient to complete
the transmission of a short frame. In this case, the
rest of the frame will be transmitted in the new
superframe.
Figure 3 shows that the data fragmentation
increases the bandwidth occupation and reduces the
data transmission time. To ensure the transmission
of the remaining frame without collision, at the
beginning of the superframe, our technique avoids
the channel listening (CCA1 2 and CCA) for the
node which transmitted a short frame in the previous
superframe.</p>
    </sec>
    <sec id="sec-9">
      <title>4. ANALYTICAL MODEL</title>
      <p>In this section, we model and analyze the proposed
data fragmentation mechanism in the IEEE 802.15.4
with acknowledgment of the transmitted data under
unsaturated traffic conditions. We assume N nodes
connected with a PAN coordinator in a star topology.</p>
    </sec>
    <sec id="sec-10">
      <title>4.1. Markov chain model</title>
      <p>In the following, we model the behavior of a single
node using IEEE 802.15.4 slotted CSMA/CA with
the data fragmentation mechanism, using a three
dimensional Markov chain in order to analyze the
network performances. Three stochastic processes
are used to describe the state of the node at each
time when executing slotted CSMA/CA with data
fragmentation mechanism.</p>
      <p>Let S(t), B(t) and T (t) be the stochastic processes
representing the backoff stage, the state of the
backoff counter and the packet type to transmit at
time t, respectively. Their values are given as follows:
S(t) = (0::m), B(t) = ( 2::Wi 1) and T (t) =
f 1; 0; 1; 2g, where m = macM axCSM ABackof f s,
and Wi = 2iW0, the initial value of W0 = 2BE
1, where the value of BE is defined in figure 1.
We note that, the backoff counter B(t) is divided
into two periods, the backoff period pulled between
f0; 2BEg and the second period represent the two
clear channel assessment (CCA) periods (-2 and
1).</p>
      <p>The Idle state in figure 4 indicates wether the node
has a data frame to transmit. In other words, this
state models the queue of a node. To satisfy the
condition of non-saturated network (i.e. a node has
not always a frame to transmit), we consider that the
events arrive to the nodes according to the poisson
process with the rate . Hence, the probability q that
a data packet (event) arrives to a node during one
backoff period T s is given as follows:
q =</p>
      <p>Z Ts
0
e tdx
(1)
The transition probabilities associated with the
Markov chain of figure 4 are:
(5)
Equation (2) defines the decrement probability of the
backoff counter. Equation (3) and (4) describes the
probability to find the channel idle for the first CCA
and second CCA, respectively. Equation (5) denotes
that the channel is busy, the node in this case selects
a new delay backoff in the new stage. Equation (6)
represent the probability to defer the transmission
to the next superframe when the remaining time in
the CAP is either insufficient to transmit a packet
or a fragment, or the fragmentation is possible
but the channel is busy. Equation (7) describes
the possibility of fragmentation when the remaining
delay of CAP is not enough to assure a successful
transmission of the original frame. The probability to
pull a data frame in the queue of a node to transmit
is given in the equation (8).</p>
      <p>Let bi;k;j = limt!+1 P fS(t) = i; B(t) = k; T (t) = jg,
be the stationary distribution of our Markov chain.
Using equation (5), we get the probability to find a
node in any stage at the steady state:
Therefore, the formula of b0;0;0 is given as follows :
ab0;0;0
=</p>
      <p>1
) + (1
where, x = (1 Pd) + (1 ) and LF , SF ,
and RF represent, respectively, a longue frame, a
short frame (fragment) and a remaining frame. The
probability that a node attempts to sense the channel
for the first time ( ) in any stage of the Markov chain
is expressed as follows:</p>
      <p>m
= X bi;0;0:
i=0
(14)
To compute the performance of the network, we
express all the probabilities in interaction with the
probability .</p>
      <p>A) Probability : is the probability to find the channel
busy during CCA1 due to data (or acknowledgment)
frame transmission. Similarly to Park et all (2013),
we express this probability as follows:
= 1 (1 )N 1 (1 )(1 )hT +TACK N1 (1(1
(15)
where T and TACK represent the number of backoff
delay required for the frame transmission and the
acknowledgment frame, respectively.
)N 1 i;
)N
B) Probability : is defined as the probability to find
the channel busy in the CCA2, given that it is free in
the CCA1 period.</p>
      <p>=
C) Probability of deferment (Pd): is defined as the
probability that the remaining time in the CAP is
not sufficient to complete the transmission of a
data frame and its acknowledgment. Hence, after
the completion of the backoff decrementation, the
current time of the node must be in the interval
]CAP TLF + 2 Tcca + Tack wait + TACK ; CAP ] to
defer the transmission. This interval is illustrated by
the blue stripes part as shown in the figure 5.
The probability of deferment is formulated by the
following expression:</p>
      <p>Pd =</p>
      <p>TLF + 2 Tcca + Tack wait + TACK + " ; (17)</p>
      <p>TCAP
where Tack wait is the time to wait before beginning
the ACK transmission. While " is introduced in the
equation (17) to indicate that the time, in the CAP, to
complete the frame transmission is insufficient.
D) Probability of fragmentation (Pf ): is the probability
to find, in the remaining time of the CAP,
sufficient time to transmit a short frame and
any acknowledgment. Assuming that when the
backoff counter of a sensor is zero its current
time is in the interval ]TCAP TLF + 2 Tcca +
Tackwait + TACK ; TCAP TSF + 2 Tcca + Tack wait +
TACK ], the blue stripes in figure 6. In this
case, the data fragmentation is applied. Otherwise,
the fragmentation is not possible and the data
transmission will be deferred to the next superframe,
as depicted by the red stripes in figure 6.
The probability of fragmentation is given in the
following expression:</p>
      <p>Pf = TLF TSF + " ;</p>
      <p>TCAP
(18)
where " is introduced in equation (18) to express the
impossibility of transmitting the original frame (LF ).</p>
    </sec>
    <sec id="sec-11">
      <title>4.2. Throughput</title>
      <p>
        The unsaturation throughput (noted S), as defined
in
        <xref ref-type="bibr" rid="ref2">Bianchi (2000)</xref>
        , as the fraction of time that
the channel is used to successfully transmit the
data frame. Therefore, S depends, on the following
probabilities:
A) Transmission probability (Ptr): represents the
probability that at least one node (among N nodes)
is in the beginning of the first clear sensing (CCA1)
with probability , the channel sensed free in CCA1
and CCA2 and the transmission will not be deferred.
      </p>
      <p>
        Ptr = 1 (1
)n (1
)(1
)(1 Pd): (19)
B) Successful transmission probability (Ps): is the
probability that exactly one transmission occurred
in the channel, conditioned by the transmission
probability (as defined in
        <xref ref-type="bibr" rid="ref2">Bianchi (2000)</xref>
        ).
      </p>
      <p>Ptr
n (1
)n 1(1
)(1
)(1 Pd) : (20)
Now, we can express the unsaturation throughput (S)
as follows:</p>
      <p>Ps =</p>
      <p>S =
+Pd(1 Pf )TDef</p>
      <p>PtrPsTpload
(1 Ptr) + PtrPsTs + (1 Ps)Tc
:
(21)
where, Tpload is the time occupied by the packet
transmission, is the duration of an empty time
slot, Ts is the time of a successful transmission of
a packet, Tc is the time during which the channel is
busy due to a collision and TDef is the average time
wasted when deferring the current transmission.
8 Ts =
&gt;
&gt;
&gt;
&gt;
&gt;&gt;&gt;&gt; Tc =
&lt;
&gt;&gt;&gt; TDef =
&gt;
&gt;
&gt;
&gt;
&gt;
:</p>
      <p>TPHY + TMAC + Tpload + 2TCCA + TLIFS;
+Tack + TACK:
TPHY + TMAC + Tpload + 2TCCA + TLIFS;
+Tack:
TSF + TPHY + TMAC + TSIFS + 2Tcca</p>
      <p>2
+ Tack + TACK " ;
2
(22)
where " indicates that there is not sufficient time to
complete the short frame transmission in the current
superframe.</p>
    </sec>
    <sec id="sec-12">
      <title>5. ANALYTICAL RESULTS</title>
      <p>In this section, we evaluate the performance of
the data fragmentation mechanism in improving
the network throughput. The analytical parameters
taken into account in the performance analysis are
presented in table 1.
Figure 7 shows the results of network throughput
for 10 nodes under different traffic load. It
illustrates the throughput improvement using the
data fragmentation mechanism (IEEE 802.15.4
Frag), comparing it with IEEE 802.15.4 standard
(IEEE 802.15.4). We show that when the length of
the original frame is just greater than the short frame
(L = 3 slots and shortframe = 2 slots) the gain
is not large enough. However, when increasing the
frame size, the gain in throughput becomes very
important (see the case of L = 7 slots).</p>
      <p>0.04 0.06
Arrival Rate λ (packet/time slot)
Figure 8 illustrates the cases of a dense network
(number of nodes = 50). When the frame is long
(L = 7 slots) and the traffic load ( ) is less than 0; 01,
the network throughput is better than when using
a small frame (L = 3 slots), independently from
considering or not the fragmentation mechanism.
However, when the traffic load increases, it causes
frequent collisions and deferred transmissions. That
is why, the small frames give better results. In
all cases, we show that, the data fragmentation
mechanism offers a better throughput.</p>
      <p>0.04 0.06
Arrival Rate λ (packet/time slot)
Figure 9 clearly shows the contribution of the data
fragmentation mechanism, when the network traffic
is low ( = 0; 001). The difference between the
throughput of the IEEE 802.15.4 with the proposed
fragmentation mechanism and the IEEE 802.15.4
standard becomes clear when the frame length
increases.
we presented a Markov chain-based model of
the slotted CSMA/CA protocol, which includes
data fragmentation mechanism. Using the proposed
model, we have evaluated the system performance
in term of throughput under non saturated traffic with
acknowledgment. The results shows the interests in
applying the data fragmentation mechanism in the
IEEE 802.15.4 standard.
In the figure 10, we analyzed an average traffic
( = 0; 05) to see the contribution of the data
fragmentation mechanism when the number of
nodes increases. The throughput decreases when
the number of nodes increases, due to collisions and
frequent transmission deferrement.</p>
    </sec>
    <sec id="sec-13">
      <title>6. CONCLUSION</title>
      <p>In this paper, the data fragmentation mechanism
is proposed to be applied in IEEE 802.15.4
slotted CSMA/CA protocol. The principle of the
mechanism is simple to implement, without changing
the operating principles of IEEE 802.15.4 slotted
CSMA/CA. The data fragmentation is applied when
the transmission of a long frame is impossible due to
insufficient remaining time in the contention access
period. Our proposal privileges the transmission of
the remaining frame in the new superframe and
avoid its collision. In our future works, we will
evaluate the impact of other parameters on the
overall network performance and we will analyze
how to improve the energy consumption using the
data fragmentation mechanism.</p>
    </sec>
  </body>
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