Many wireless sensor network applications like forest fire detection and environment monitoring recommend making benefit from moving humans, vehicles, or animals to enhance network performance. In this research, we had improved our previous protocol
(Dynamic Tree Routing DTR) to support mobility in a wireless sensor network. First, we had mathematically approximated the speed threshold for mobile sensors, which enables them to successfully associate with nearby coordinators. Second, we test our (MDTR) protocol in a network with mobile sensors sending packets toward the network's main coordinator. The simulation results obtained from network Simulator (NS2) showed a good approximation of speed threshold, and good performance of MDTR in term of delay, throughput, and hop-count compared with AODV and MZBR Protocols.
The location of wireless sensor nodes located in the center is necessary for applications
where information about the site is important information such as security, protection,
object tracking and other applications.
localization algorithms are c
lassified into two types: Range-based and Range-free. The
study focused on Range-free localization algorithms because they are less expensive in
terms of hardware requirements.
The MATLAB was used to simulate the algorithms, whose performance was evaluated by
changing the number of network nodes, the number of Anchor nodes, and the contract area
of communication in order to illustrate performance differences in terms of localization
error.
The results showed the superiority of the amorphous algorithm, achieving high localization
accuracy and lower cost for the number of Anchor nodes needed to achieve a small error.
Mobile Wireless Sensor Network (MWSN) is an emerging technology for attraction of
researchers with its research advantage and various application domains. Due to limited
resources of sensor nodes such as transmission power, communication capability
and
size of memory, data aggregation algorithms are the most practical technique that reduces
large amount of transmission in this network. Security is an important criterion to be
considered because, wireless sensor nodes are deployed in a remote or hostile
environment area that is prone to attacks easily. Therefore, security are essential issue
for MWSN to protect information against attacks.
In this research, we offered an algorithm of secure data aggregation in MWSN based on
pair-wise keys technology and hash function. We studied important parameters such as
execution time, end-to-end delay and number of storied keys. Results showed that
Many wireless sensor network applications like forest fire detection and environment
monitoring recommend making benefit from moving humans, vehicles, or animals to
enhance network performance. In this research, we had improved our previous protoco
l
(Dynamic Tree Routing DTR) in order to support mobility in a wireless sensor network.
First, we had mathematically approximated the speed threshold for mobile sensors, which
enables them to successfully associate with nearby coordinators. Second, we test our
(MDTR) protocol in a network with mobile sensors sending packets toward network's
main coordinator. The simulation results obtained from network Simulator (NS2) showed a
good approximation of speed threshold, and good performance of MDTR in term of delay,
throughput, and hop-count compared with AODV and MZBR Protocols.
The great development of mobile wireless sensor networks has many very important
applications. One of the most important applications that has attracted scientists' attention
recently is to track animals in their homes to follow the behavior and li
ves of some
endangered animals, but monitoring animals activities in the forest is a very difficult task,
especially if the animals to be monitored are teeny, therefore we cannot use the traditional
tracking systems ) like GPS, As well as the harsh and dangerous nature of the forest make
the use of wireless sensor networks the best solution, especially that sensors are low-cost,
small size, which made them suitable for such tasks, in this research we will study new
way to track a group of partridge where sensors are placed on these birds to observe their
life and behavior ,The important challenge in this research is to know the location of these
mobile birds to be able to the help them in appropriate time , so will introduce a new
method that provides us with acceptable accuracy, a simple, easy, inexpensive and low
energy consumption compared with other methods of animals tracking ,based on a set of
predefined reference nodes, where sensors information is sent to a gathering center
through these reference nodes ,then Analyze it and use it to the approximate location of
the animals. We will evaluate this method using Network Simulator (NS2).
In this PAPER, we perform a study and extensive comparative between
the well-known link quality estimators and CTP, a tree-based routing
protocol provided by TinyOS for different network topology and simulate
it using TOSSIM simulator to evaluate
the performance of these
estimators.
Mobile wireless sensor network (MWSN) is a wireless ad hoc network that consists
of avery large number of tiny sensor nodes communicating with each other in which
sensornodes are either equipped with motors for active mobility or attached to mobile
objectsfor passive mobility. A real-time routing protocol for MWSN is an exciting area of
research
because messages in the network are delivered according to their end-to-end
deadlines
(packet lifetime) while sensor nodes are mobile. This paper proposes an enhanced
realtime
with load distribution (ERTLD) routing protocol for MWSN which is based on our
previousrouting protocol RTLD. ERTLD utilized corona mechanism and optimal
forwardingmetrics to forward the data packet in MWSN. It computes the optimal
forwarding nodebased on RSSI, remaining battery level of sensor nodes and packet
delayover one-hop. ERTLDensures high packet delivery ratio and experiences minimum
end-to-end delay in WSNand MWSN compared to baseline routing protocol. . In this paper
we consider a highly dynamic wireless sensor network system in which the sensor nodes
and the base station(sink) are mobile.ERTLD has been studied and verified and compared
with baseline routing protocols RTLD,MM-SPEED , RTLCthrough Network Simulator-
2(NS2)
شبكات الحساسات اللاسلكية
RTLD (Real-time with load distributed routing) Protocol
شبكات الحساسات اللاسلكية النقالة
بروتوكول التوجيه بالزمن الحقيقي مع توزيع الحمولة
بروتوكول التوجيه بالزمن الحقيقي المحسن مع توزيع الحمولة
معدل استقبال الرزمة
خيار التوجيه الأفضل
مؤشر قوة الاشارة المستقبلة
WSN(wireless sensor networks)
MWSN) Mobile wireless sensor networks)
ERTLD ( Enhanced Real-time with load distributed routing) Protocol
PRR(Packet Reception Rate)
Optimal Forwarding (OF)
RSSI: Received Signal Strength Indicator
MN(Mobile Node)
MS(Mobile sink)
المزيد..
Routing protocols play an essential role in meeting the quality of service
requirements in the network, but achieving these requirements may require frequent send
and receive operations to build and maintain routing tables, which consume sensors
r
esource If we take into consideration the limitations of wireless sensor networks in terms
of the amount of available energy and storage capacity.
In this research a performance comparison of the on-demand Distance Vector
Routing protocol AODV and Hierarchical Routing protocolHR was carried out in terms of
the packet delivery and loose rate, delay and jitter, and the amount of expended energy in
the Wireless sensor network operates according to IEEE802.15.4 standard in cases where
some of sensors get out of work for limited periods of time.
The results showed that the hierarchical routing protocols perform better in terms of
delay time and transfer rate and the amount of consumed energy than on-demand Distance
Vector Routing protocol routing protocol, but suffer larger packet loss due to routing path
corruption as a result of sensors crashes.
The experiment carried out to improve the efficiency of drip
irrigation system , based on soil moisture. The indirect measure of
humidity Was used in the experiment, connected with the pointing
device (separator continued), and a control device pr
ogrammed on a
low humidity degree, which is degree the field capacity of the soil and
which value is 25%, and on a high moisture degree which is saturation degree
at 75%..
IDDQ testing techniques are used to detect the physical defects
such gate oxide shorts,floating gates and bridging faults, and which
happen for the presence of manufacturing faults during the
manufacturing processes of CMOS integrated circuits, wh
ich
cannot be detected by classical logical testing.
