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ISSN No: 2456
International
Research
Implementation of MSK Modulation Scheme
System / IEEE 802.15.4 Physical Layer
Kumari Pooja
1
Research Scholar,
Department of Electronics & Communication, GGITS, Jabalpur
ABSTRACT
In this work physical layer simulation of IEEE
802.15.4 / ZigBee protocol has been done. The
proposed work is the implementation of ZigBee
system according to the protocol description. In this
work we have simulated ZigBee system first with
conventional OQPSK modulation technique, then the
simulations are performed for MSK modulation,
which is through OQPSK modulation. Simulation
results for BER showing the average 79.43 %
improvement in BER for Proposed MSK compared
with OQPSK modulation scheme. For a targ
10-2 the SNR required is 4 dB for this work i.e. for
MSK, as compared to 10 dB for conventional
OQPSK. Hence, an improvement of 6 dB less SNR.
For a target BER of 10-2 the SNR required is 4 dB for
this work i.e. for MSK, as compared to 5.2 dB wit
[1]. Hence, an improvement of 1.2 dB less SNR.
Keywords: ZigBee, IEEE 802.15.4, MSK, OQPSK,
BER, MATLAB.
I. INTRODUCTION
Wireless communication has a wide spread in several
fields such as industry, health, agriculture, and
military [1]. The necessity of wireless sensor
networks (WSNs) increases to enhance the system
reliability, meanwhile decreasing the power
consumption and avoiding the complexity of wired
connections implementation [2]–[4]. ZigBee, as a
long-term sustainable and reliable system operation, is
considered as one of the effective communication
standards of WSNs. It provides several advantages
compared to other technologies such as: low power
consumption, which leads to long battery life, low
data rates, simplicity, and self-configuring preference
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018
ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume
International Journal of Trend in Scientific
Research and Development (IJTSRD)
International Open Access Journal
f MSK Modulation Scheme for Zigbee
System / IEEE 802.15.4 Physical Layer
Kumari Pooja1
, Shailesh Khaparkar2
, Pankaj Sahu3
Research Scholar, 2
Associate Professor, 3
Assistant Professor
Department of Electronics & Communication, GGITS, Jabalpur, Madhya Pradesh
In this work physical layer simulation of IEEE
802.15.4 / ZigBee protocol has been done. The
proposed work is the implementation of ZigBee
system according to the protocol description. In this
work we have simulated ZigBee system first with
PSK modulation technique, then the
simulations are performed for MSK modulation,
which is through OQPSK modulation. Simulation
results for BER showing the average 79.43 %
improvement in BER for Proposed MSK compared
with OQPSK modulation scheme. For a target BER of
2 the SNR required is 4 dB for this work i.e. for
for conventional
an improvement of 6 dB less SNR.
2 the SNR required is 4 dB for
this work i.e. for MSK, as compared to 5.2 dB with
an improvement of 1.2 dB less SNR.
ZigBee, IEEE 802.15.4, MSK, OQPSK,
Wireless communication has a wide spread in several
fields such as industry, health, agriculture, and
military [1]. The necessity of wireless sensor
networks (WSNs) increases to enhance the system
reliability, meanwhile decreasing the power
avoiding the complexity of wired
[4]. ZigBee, as a
term sustainable and reliable system operation, is
considered as one of the effective communication
standards of WSNs. It provides several advantages
technologies such as: low power
consumption, which leads to long battery life, low
configuring preference
[5]. ZigBee operates in three different frequency
bands; 868 MHz, 900 MHz and 2.4 GHz. The most
commonly used band in industrial applications is the
2.4 GHz. It is operating in the free
scientific and medical (ISM) frequency band, which
subsequently reduces the system cost [6]
application of Zigbee Technology can be seen in
home monitoring system, climate sensors
communication, collection of data in small area in
research field & industrial control etc. The major
application of Zigbee transceiver is shown in wireless
sensor networking and automatic control system such
as home controlling, biotelemetry, personal caring
(for senior citizens) etc. Home, industry and other
organization automation is the major application of
Zigbee transmission. Light (Power) control, Light
machinery control, SCADA networking etc are some
more.
The IEEE 802.15.4 wireless standard for low power,
low data-rate sensor networks operate in the 2.4GHz
industrial, scientific and medical (ISM) band. The
ZigBee standard provides network, security, and
application support services operating on top of the
IEEE 802.15.4 Medium Access Control (MAC) and
Physical Layer (PHY) wireless standard. It employs a
suite of technologies to enable scalable, self
organizing, self-healing networks that can manage
various data traffic patterns. Here we are try to reduce
packet error rate and bit error rate the packet error rate
(PER). PER is obtained from the bit error rate (BER)
and the collision time. The BER is obtained from
signal to noise and interference r
modulation. By using a platform MATLAB/
SIMULINK. ZigBee as a short range WSN is usually
Jun 2018 Page: 2510
6470 | www.ijtsrd.com | Volume - 2 | Issue – 4
Scientific
(IJTSRD)
International Open Access Journal
or Zigbee
System / IEEE 802.15.4 Physical Layer
Madhya Pradesh, India
ZigBee operates in three different frequency
bands; 868 MHz, 900 MHz and 2.4 GHz. The most
in industrial applications is the
2.4 GHz. It is operating in the free-licensed industrial,
scientific and medical (ISM) frequency band, which
subsequently reduces the system cost [6]–[8], [2]The
application of Zigbee Technology can be seen in
ing system, climate sensors
communication, collection of data in small area in
research field & industrial control etc. The major
application of Zigbee transceiver is shown in wireless
sensor networking and automatic control system such
, biotelemetry, personal caring
(for senior citizens) etc. Home, industry and other
organization automation is the major application of
Zigbee transmission. Light (Power) control, Light
machinery control, SCADA networking etc are some
5.4 wireless standard for low power,
rate sensor networks operate in the 2.4GHz
industrial, scientific and medical (ISM) band. The
ZigBee standard provides network, security, and
application support services operating on top of the
edium Access Control (MAC) and
Physical Layer (PHY) wireless standard. It employs a
suite of technologies to enable scalable, self-
healing networks that can manage
various data traffic patterns. Here we are try to reduce
and bit error rate the packet error rate
(PER). PER is obtained from the bit error rate (BER)
and the collision time. The BER is obtained from
signal to noise and interference ratio using OQPSK
a platform MATLAB/
short range WSN is usually
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 2511
used in indoor environments, in which it is subjected
to the effects of wireless propagation, such as added
noise and multipath fading. These effects may cause
inter-symbol interference (ISI), increase the bit error
rate (BER ) at the receiver, and decrease the reliability
of the entire system [9].
Here a comparatively analysis of Zigbee, Bluetooth
and Wi-Fi technology is also present that will help us
that how Zigbee is different than other wireless
networking technologies [3]:
Table 1: comparison of ZigBee with other protocols
II. ZIGBEE AND IEEE802.11.4
SPECIFICATIONS
Zigbee Alliance was established in August, 2001,The
ZigBee specification, officially named ZigBee 2007.It
offers full wireless mesh networking capable of
supporting more than 64,000devices on a single
network. It’s designed to connect the widest range of
devices, in any industry, into a single control network.
The ZigBee specification has two implementation
options or Feature Sets: ZigBee and ZigBee PRO. The
ZigBee Feature Set is designed to support smaller
networks with hundreds of devices in a single
network. The ZigBee PRO Feature Set is the most
popular choice of developers and the specification
used for most Alliance developed ZigBee Feature Set,
plus facilitates ease-of-use and advanced support for
larger networks comprised of thousands of devices.
Both Feature Sets are designed to interoperate with
each other, ensuring long-term use and stability. The
ZigBee specification enhances the IEEE 802.15.4
standard by adding network and security layers and an
application framework. From this foundation,
Alliance developed standards, technically referred to
as public application profiles, can be used to create a
multi-vendor interoperable solutions. For custom
application where interoperability is not required,
manufacturers can create their own manufacturer
specific profiles.
Some of the characteristics of ZigBee include:
Global operation in the 2.4GHz frequency band
according to IEEE 802.15.4 Regional operation in the
915Mhz (Americas) and 868Mhz (Europe).
Frequency agile solution operating over 16 channels
in the 2.4GHz frequency Incorporates power saving
mechanisms for all device classes Discovery
mechanism with full application confirmation Pairing
mechanism with full application confirmation
Multiple star topology and inter-personal area
network (PAN) communication Various transmission
options including broadcast Security key generation
mechanism Utilizes the industry standard AES-128
security scheme Supports Alliance standards (public
application profiles) or manufacturer specific profiles.
III.ZIGBEE / IEEE 802.15.4 PROTOCOL
ARCHITECTURE
Figure 2: ZigBee/IEEE 802.15.4 Architecture
II. F. FREQUENCY BANDS AND DATA RATES
The standard specifies two PHYs:
1. 868 MHz/915 MHz direct sequence spread
spectrum (DSSS) PHY (11channels) 1 channel
(20Kb/s) in European 868MHz band 10 channels
(40Kb/s) in 915 (902-928)MHz ISM band.
2. 2450 MHz direct sequence spread
spectrum(DSSS) PHY (16 channels) 16 channels
(250Kb/s) in 2.4GHz band.
III.ZigBee System
The main objective of this work is to simulate and
physical level simulation of IEEE 802.15.4 ZigBee
protocol. For this we have simulated the ZigBee
system for IEEE 802.15.4. In this process first we
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 2512
have implemented the ZigBee system with existing
OQPSK modulation, than the system is being
implemented using MSK using OQPSK by using
platform MATLAB.
Table 2:Frequency Bands & Data Rates of ZigBee
IV.
A comprehensive model for ZigBee transceiver has
been built in MATLAB Simulink. The details of this
model are presented in this section. A block diagram
for the transceiver model is shown in Fig. 3.
A. ZigBee Transmitter Model
Before transmitting the input data through the
transmission channel, three stages of signal
processing are required: signal generation, spreading
and modulation, as depicted in Fig. 3.
1. Binary Generator: Each four bits of input data
stream of 250 kbps is mapped into a symbol [3].
Thus, the symbol rate is 62.5 Kilo symbols per
second. The ‘Random Integer Generator’ in the
Simulink library is used with 2-ary number and
1/250000 sampling time.
2. Pseudo-Noise (PN) Sequence Generator: This
block in Simulink is used to generate the 16-ary
PN sequences with 32-bit chip sequence, where
the chip rate is 2Mcps.
3. Direct Sequence Spread Spectrum (DDSSS)
Spreading:
The symbol is used to select one of the 16-ary PN
sequences resulting in 2 Mega DSSS. In Simulink,
this process is performed through two steps: first,
the input data stream and PN code are converted
to non-return-tozero (NRZ) format, and then they
are multiplied to generate a wide-band DSSS
signal. Pulse shaping is achieved using the half
sine signal as given in Eq.1
Eq.1
where,T is the chip period.
4. Offset Quadrature Phase Shift Keying (OQPSK)
Modulation: The spread signal is modulated using
OQPSK modulation and transmitted over the
fading
channel.
B. Channel Characteristics
The widespread AWGN is used to simulate
background noise of the time-varying channel. The
medium of the data transfer is closed, and thus there
are multipath fading effects. Since ZigBee is generally
used in a closed environment, it will be affected by
small-scale Rayleigh and Rician fading.
Obstacles in the transmission path of the signal result
in multipath copies of the signal with different delay
times. If denotes the complex path gain and
defines the path delay of the signal via the path,
then the impulse response of the channel is given by:
where, is the input sampling period, and nis the
number of samples. By referring to the set of samples
at the input of the channel as , then the output is
given by:
In case of Rayleigh fading, there is no direct path
along a line of sight, and all received signals are
reflected copies. The ‘Multipath Rayleigh Fading
Channel’ block is used in the model with 0.001 max
Doppler shift. In Rician fading, there is a signal
component with direct path to the receiver. The
‘Multipath Rician Fading Channel’ Simulink block is
used with k-factor of 1 to model this effect. The k-
factor represents the ratio between the power in the
line-of-sight component, and the power in the diffused
component. Four multipath components with path
delays [0, 1, 5, 10] ns and average path gains of [0, -2,
-3, -5] dB are used for simulation. To match the
realistic channel, all these impacts are considered
during the model design.
C. ZigBee Receiver Model
The original signal is extracted by adding a filter
and/or an equalizer to the receiver model. The filter is
used to remove the added noise on the signal, and the
equalizer works to compensate the unwanted impact
of the channel such as attenuation, amplification,
delay and phase shift. In this work
an adaptive linear equalizer is added to the receiver
model to achieve the two tasks at the same time. The
signal is obtained at the receiver by using OQPSK
demodulation block. The received 2 Mbps signal is
de-spreaded by using the same PN sequence, which
was used at the transmitter side. The received
signaland the PN sequence must be synchronized
before multiplication.
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 2513
IV. PROPOSED ALGORITHM
Figure 3: Proposed Algorithm
V. SIMULATION RESULTS
In this work physical layer MSK modulation
implementation of IEEE 802.15.4 ZigBee has been
done. First with the help of existing OQPSK
modulation technique the IEEE 802.15.4 ZigBee
protocol, system was implemented, then using MSK
through OQPSK modulation the system was
implemented again. Several MATLAB/Simulink
simulations were done to evaluate the performance of
Zigbee/IEEE 802.15.4 physical layer. The simulation
results show how the BER versus the SNR values
were affected when varying communication
parameters such the input data rate, the level of the
AWGN power and number of bits per symbol.
V. SIMULATION RESULTS
Figure 4: BER Performance of ZigBee for OQPSK &
MSK
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 2514
Table 2: Simulation Results Comparison with [1]
VI. CONCLUSION
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@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018
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Implementation of MSK Modulation Scheme for Zigbee System / IEEE 802.15.4 Physical Layer

  • 1. @ IJTSRD | Available Online @ www.ijtsrd.com ISSN No: 2456 International Research Implementation of MSK Modulation Scheme System / IEEE 802.15.4 Physical Layer Kumari Pooja 1 Research Scholar, Department of Electronics & Communication, GGITS, Jabalpur ABSTRACT In this work physical layer simulation of IEEE 802.15.4 / ZigBee protocol has been done. The proposed work is the implementation of ZigBee system according to the protocol description. In this work we have simulated ZigBee system first with conventional OQPSK modulation technique, then the simulations are performed for MSK modulation, which is through OQPSK modulation. Simulation results for BER showing the average 79.43 % improvement in BER for Proposed MSK compared with OQPSK modulation scheme. For a targ 10-2 the SNR required is 4 dB for this work i.e. for MSK, as compared to 10 dB for conventional OQPSK. Hence, an improvement of 6 dB less SNR. For a target BER of 10-2 the SNR required is 4 dB for this work i.e. for MSK, as compared to 5.2 dB wit [1]. Hence, an improvement of 1.2 dB less SNR. Keywords: ZigBee, IEEE 802.15.4, MSK, OQPSK, BER, MATLAB. I. INTRODUCTION Wireless communication has a wide spread in several fields such as industry, health, agriculture, and military [1]. The necessity of wireless sensor networks (WSNs) increases to enhance the system reliability, meanwhile decreasing the power consumption and avoiding the complexity of wired connections implementation [2]–[4]. ZigBee, as a long-term sustainable and reliable system operation, is considered as one of the effective communication standards of WSNs. It provides several advantages compared to other technologies such as: low power consumption, which leads to long battery life, low data rates, simplicity, and self-configuring preference @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume International Journal of Trend in Scientific Research and Development (IJTSRD) International Open Access Journal f MSK Modulation Scheme for Zigbee System / IEEE 802.15.4 Physical Layer Kumari Pooja1 , Shailesh Khaparkar2 , Pankaj Sahu3 Research Scholar, 2 Associate Professor, 3 Assistant Professor Department of Electronics & Communication, GGITS, Jabalpur, Madhya Pradesh In this work physical layer simulation of IEEE 802.15.4 / ZigBee protocol has been done. The proposed work is the implementation of ZigBee system according to the protocol description. In this work we have simulated ZigBee system first with PSK modulation technique, then the simulations are performed for MSK modulation, which is through OQPSK modulation. Simulation results for BER showing the average 79.43 % improvement in BER for Proposed MSK compared with OQPSK modulation scheme. For a target BER of 2 the SNR required is 4 dB for this work i.e. for for conventional an improvement of 6 dB less SNR. 2 the SNR required is 4 dB for this work i.e. for MSK, as compared to 5.2 dB with an improvement of 1.2 dB less SNR. ZigBee, IEEE 802.15.4, MSK, OQPSK, Wireless communication has a wide spread in several fields such as industry, health, agriculture, and military [1]. The necessity of wireless sensor networks (WSNs) increases to enhance the system reliability, meanwhile decreasing the power avoiding the complexity of wired [4]. ZigBee, as a term sustainable and reliable system operation, is considered as one of the effective communication standards of WSNs. It provides several advantages technologies such as: low power consumption, which leads to long battery life, low configuring preference [5]. ZigBee operates in three different frequency bands; 868 MHz, 900 MHz and 2.4 GHz. The most commonly used band in industrial applications is the 2.4 GHz. It is operating in the free scientific and medical (ISM) frequency band, which subsequently reduces the system cost [6] application of Zigbee Technology can be seen in home monitoring system, climate sensors communication, collection of data in small area in research field & industrial control etc. The major application of Zigbee transceiver is shown in wireless sensor networking and automatic control system such as home controlling, biotelemetry, personal caring (for senior citizens) etc. Home, industry and other organization automation is the major application of Zigbee transmission. Light (Power) control, Light machinery control, SCADA networking etc are some more. The IEEE 802.15.4 wireless standard for low power, low data-rate sensor networks operate in the 2.4GHz industrial, scientific and medical (ISM) band. The ZigBee standard provides network, security, and application support services operating on top of the IEEE 802.15.4 Medium Access Control (MAC) and Physical Layer (PHY) wireless standard. It employs a suite of technologies to enable scalable, self organizing, self-healing networks that can manage various data traffic patterns. Here we are try to reduce packet error rate and bit error rate the packet error rate (PER). PER is obtained from the bit error rate (BER) and the collision time. The BER is obtained from signal to noise and interference r modulation. By using a platform MATLAB/ SIMULINK. ZigBee as a short range WSN is usually Jun 2018 Page: 2510 6470 | www.ijtsrd.com | Volume - 2 | Issue – 4 Scientific (IJTSRD) International Open Access Journal or Zigbee System / IEEE 802.15.4 Physical Layer Madhya Pradesh, India ZigBee operates in three different frequency bands; 868 MHz, 900 MHz and 2.4 GHz. The most in industrial applications is the 2.4 GHz. It is operating in the free-licensed industrial, scientific and medical (ISM) frequency band, which subsequently reduces the system cost [6]–[8], [2]The application of Zigbee Technology can be seen in ing system, climate sensors communication, collection of data in small area in research field & industrial control etc. The major application of Zigbee transceiver is shown in wireless sensor networking and automatic control system such , biotelemetry, personal caring (for senior citizens) etc. Home, industry and other organization automation is the major application of Zigbee transmission. Light (Power) control, Light machinery control, SCADA networking etc are some 5.4 wireless standard for low power, rate sensor networks operate in the 2.4GHz industrial, scientific and medical (ISM) band. The ZigBee standard provides network, security, and application support services operating on top of the edium Access Control (MAC) and Physical Layer (PHY) wireless standard. It employs a suite of technologies to enable scalable, self- healing networks that can manage various data traffic patterns. Here we are try to reduce and bit error rate the packet error rate (PER). PER is obtained from the bit error rate (BER) and the collision time. The BER is obtained from signal to noise and interference ratio using OQPSK a platform MATLAB/ short range WSN is usually
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 2511 used in indoor environments, in which it is subjected to the effects of wireless propagation, such as added noise and multipath fading. These effects may cause inter-symbol interference (ISI), increase the bit error rate (BER ) at the receiver, and decrease the reliability of the entire system [9]. Here a comparatively analysis of Zigbee, Bluetooth and Wi-Fi technology is also present that will help us that how Zigbee is different than other wireless networking technologies [3]: Table 1: comparison of ZigBee with other protocols II. ZIGBEE AND IEEE802.11.4 SPECIFICATIONS Zigbee Alliance was established in August, 2001,The ZigBee specification, officially named ZigBee 2007.It offers full wireless mesh networking capable of supporting more than 64,000devices on a single network. It’s designed to connect the widest range of devices, in any industry, into a single control network. The ZigBee specification has two implementation options or Feature Sets: ZigBee and ZigBee PRO. The ZigBee Feature Set is designed to support smaller networks with hundreds of devices in a single network. The ZigBee PRO Feature Set is the most popular choice of developers and the specification used for most Alliance developed ZigBee Feature Set, plus facilitates ease-of-use and advanced support for larger networks comprised of thousands of devices. Both Feature Sets are designed to interoperate with each other, ensuring long-term use and stability. The ZigBee specification enhances the IEEE 802.15.4 standard by adding network and security layers and an application framework. From this foundation, Alliance developed standards, technically referred to as public application profiles, can be used to create a multi-vendor interoperable solutions. For custom application where interoperability is not required, manufacturers can create their own manufacturer specific profiles. Some of the characteristics of ZigBee include: Global operation in the 2.4GHz frequency band according to IEEE 802.15.4 Regional operation in the 915Mhz (Americas) and 868Mhz (Europe). Frequency agile solution operating over 16 channels in the 2.4GHz frequency Incorporates power saving mechanisms for all device classes Discovery mechanism with full application confirmation Pairing mechanism with full application confirmation Multiple star topology and inter-personal area network (PAN) communication Various transmission options including broadcast Security key generation mechanism Utilizes the industry standard AES-128 security scheme Supports Alliance standards (public application profiles) or manufacturer specific profiles. III.ZIGBEE / IEEE 802.15.4 PROTOCOL ARCHITECTURE Figure 2: ZigBee/IEEE 802.15.4 Architecture II. F. FREQUENCY BANDS AND DATA RATES The standard specifies two PHYs: 1. 868 MHz/915 MHz direct sequence spread spectrum (DSSS) PHY (11channels) 1 channel (20Kb/s) in European 868MHz band 10 channels (40Kb/s) in 915 (902-928)MHz ISM band. 2. 2450 MHz direct sequence spread spectrum(DSSS) PHY (16 channels) 16 channels (250Kb/s) in 2.4GHz band. III.ZigBee System The main objective of this work is to simulate and physical level simulation of IEEE 802.15.4 ZigBee protocol. For this we have simulated the ZigBee system for IEEE 802.15.4. In this process first we
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 2512 have implemented the ZigBee system with existing OQPSK modulation, than the system is being implemented using MSK using OQPSK by using platform MATLAB. Table 2:Frequency Bands & Data Rates of ZigBee IV. A comprehensive model for ZigBee transceiver has been built in MATLAB Simulink. The details of this model are presented in this section. A block diagram for the transceiver model is shown in Fig. 3. A. ZigBee Transmitter Model Before transmitting the input data through the transmission channel, three stages of signal processing are required: signal generation, spreading and modulation, as depicted in Fig. 3. 1. Binary Generator: Each four bits of input data stream of 250 kbps is mapped into a symbol [3]. Thus, the symbol rate is 62.5 Kilo symbols per second. The ‘Random Integer Generator’ in the Simulink library is used with 2-ary number and 1/250000 sampling time. 2. Pseudo-Noise (PN) Sequence Generator: This block in Simulink is used to generate the 16-ary PN sequences with 32-bit chip sequence, where the chip rate is 2Mcps. 3. Direct Sequence Spread Spectrum (DDSSS) Spreading: The symbol is used to select one of the 16-ary PN sequences resulting in 2 Mega DSSS. In Simulink, this process is performed through two steps: first, the input data stream and PN code are converted to non-return-tozero (NRZ) format, and then they are multiplied to generate a wide-band DSSS signal. Pulse shaping is achieved using the half sine signal as given in Eq.1 Eq.1 where,T is the chip period. 4. Offset Quadrature Phase Shift Keying (OQPSK) Modulation: The spread signal is modulated using OQPSK modulation and transmitted over the fading channel. B. Channel Characteristics The widespread AWGN is used to simulate background noise of the time-varying channel. The medium of the data transfer is closed, and thus there are multipath fading effects. Since ZigBee is generally used in a closed environment, it will be affected by small-scale Rayleigh and Rician fading. Obstacles in the transmission path of the signal result in multipath copies of the signal with different delay times. If denotes the complex path gain and defines the path delay of the signal via the path, then the impulse response of the channel is given by: where, is the input sampling period, and nis the number of samples. By referring to the set of samples at the input of the channel as , then the output is given by: In case of Rayleigh fading, there is no direct path along a line of sight, and all received signals are reflected copies. The ‘Multipath Rayleigh Fading Channel’ block is used in the model with 0.001 max Doppler shift. In Rician fading, there is a signal component with direct path to the receiver. The ‘Multipath Rician Fading Channel’ Simulink block is used with k-factor of 1 to model this effect. The k- factor represents the ratio between the power in the line-of-sight component, and the power in the diffused component. Four multipath components with path delays [0, 1, 5, 10] ns and average path gains of [0, -2, -3, -5] dB are used for simulation. To match the realistic channel, all these impacts are considered during the model design. C. ZigBee Receiver Model The original signal is extracted by adding a filter and/or an equalizer to the receiver model. The filter is used to remove the added noise on the signal, and the equalizer works to compensate the unwanted impact of the channel such as attenuation, amplification, delay and phase shift. In this work an adaptive linear equalizer is added to the receiver model to achieve the two tasks at the same time. The signal is obtained at the receiver by using OQPSK demodulation block. The received 2 Mbps signal is de-spreaded by using the same PN sequence, which was used at the transmitter side. The received signaland the PN sequence must be synchronized before multiplication.
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 2513 IV. PROPOSED ALGORITHM Figure 3: Proposed Algorithm V. SIMULATION RESULTS In this work physical layer MSK modulation implementation of IEEE 802.15.4 ZigBee has been done. First with the help of existing OQPSK modulation technique the IEEE 802.15.4 ZigBee protocol, system was implemented, then using MSK through OQPSK modulation the system was implemented again. Several MATLAB/Simulink simulations were done to evaluate the performance of Zigbee/IEEE 802.15.4 physical layer. The simulation results show how the BER versus the SNR values were affected when varying communication parameters such the input data rate, the level of the AWGN power and number of bits per symbol. V. SIMULATION RESULTS Figure 4: BER Performance of ZigBee for OQPSK & MSK
  • 5. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 2514 Table 2: Simulation Results Comparison with [1] VI. CONCLUSION REFERENCES 1. Asmaa M. Romia et al, “Design Optimization of LMS-Based Adaptive Equalizer for ZigBee Systems with Fading Channels”, IEEE International Conference on Computing, Mathematics and Engineering Technologies – iCoMET 2018. 2. Soumen Moulik et al, “Performance Evaluation and Delay-Power Trade-off Analysis of ZigBee Protocol”, IEEE Transactions on Mobile Computing, 2018. 3. Trio Adiono et al, “Zigbee Baseband Hardware Modeling for Internet of Things IEEE 802.15.4 Compliance”, IEEE 6th International Conference on Electrical Engineering and Informatics (ICEEI), 2017. 4. Pere Pala et al, “Superregenerative Reception of Narrowband FSK Modulations”, IEEE Transactions on Circuits & Systems-I: Regular Papers, Vol. 62, No. 3, March 2015. 5. Varshney et al., “Comparative Analysis of OQPSK and MSK Based ZigBee Transceiver Using MATLAB”, International Journal of Advanced Research in Computer Science and Software Engineering 3(6), Pp. 948-956, June - 2013. 6. Irfan Ali et al , “Bit-Error-Rate (BER) Simulation Using MATLAB”, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 ,Vol. 3, Issue 1, Pp.706-711, February 2013. 7. Kapil Dev Jha et al, “Design & Simulation of ZigBee Transceiver System Based on MSK and QPSK Using MATLAB”, International Journal of New Trends in Electronics and Communication (IJNTEC) ,Vol.1, Issue. 4, Nov. 2013. 8. Wei Yuan et al, “Coexistence Performance of IEEE 802.15.4 Wireless Sensor Networks Under IEEE 802.11b/g Interference”, International Journal Distributed Sensor Networks volume 2010(2010),Article ID581081,Pp -6,2010. 9. G. M. Tamilselvan and Dr. A. Shanmugam, “Probability Analysis of channel collision between IEEE 802.15.4 and IEEE 802.11b using Qualnet Simulation for various Topologies” International Journal of Computer Theory and Engineering, Vol. 1, No. 1, April 2009. 10. NazifCihanTas et-al, “IEEE 802.15.4 Throughput Analysis under IEEE 802.11 Interference” International Symposium on Innovations and Real Time Applications of Distributed Sensor Networks, 2007. 11. Yuan, W., Linnartz, J. P. M. G., & Niemegeers, “Adaptive CCA for IEEE 802.15.4 wireless sensor networks to mitigate interference” IEEE wireless communications and networking conference Sydney, pp.1–5,2010. 12. Z. Alliance, “ZigBee Alliance,” WPAN industry group, the industry group responsible for the ZigBee standard and certification, 2010. 13. C. V. Berta, D. P. A. Rodolfo, R. Susan, and P. Dirk, “Experimental evaluation of beacon scheduling mechanisms for multi hop IEEE 802.15.4 wireless sensor networks,” in Proceedings of the 4th International Conference on Sensor Technologies and Applications (Sensor Comm '10), pp. 226–231, July 2010 14. S. Ahmed, “The Role of ZigBee Technology in Future Data Communication System, ”Journal of Applied Information Technology, vol. 5, no. 2, pp. 129 – 135, 2009.
  • 6. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 @ IJTSRD | Available Online @ www.ijtsrd.com 15. IEEE Standard for Local and Metropolitan Area Networks-Part 15.4: Low-Rate Wireless Per Area Networks (LR-WPANs), IEEE Computer Society Std. IEEE 802.11b: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: Higher Physical Layer Extension in the 2.4GHz Band, 1999. 16. K. Shuaib and I. Jawhar M.Alnuai "Performance Evaluation of IEEE 802.15.4 Physical Layer Using Matlab/Simulink" in Innovations in information technology, Pp. 1 November 2006. 17. Maryam Alnuaimi, Mohamed Boulmalf, Farag Sallabi and Abderrahmane Lakas Khaled Shuaid, "Performance Evaluation of IEEE 802.15.4: Experimental and simulation Results," Journal of Communications, vol. 2, pp. 29-37, June 2007. 18. 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