The reducing of energy consumption for various nodes in wireless sensor networks
plays an important and essential role in the prolonging of the life of these networks. In
order not to be the energy consumption in some node is very high and in other
s is less or
very low, the choice of distribution algorithms of the nodes role, as a router node or
terminal nodes, and switching between them, plays an important role in prolonging the
lifetime of wireless sensor networks.
This paper presents an algorithm for the distribution of WSN nodes roles, including
allowing the applying of many tree patterns to a single network. This offers the potential to
alter the network nodes roles centrally by coordinator and switching between these tree
patterns whenever the need arises according to the indicators of energy consumption in the
nodes. The results show that the use of the algorithm leads to a significant improvement in
the network life ranges between 2 and 4 times, according to the allowing the nodes to sleep
and wakeup, or not, for different transmission rates where the scenarios have been tested
for ZigBee based wireless sensors networks using NS-2 simulator.
The use of wireless sensor networks to monitor and control the precise agriculture is one of the areas which received broad concern in recent times, for the services, facilities and the reliability provided by these networks on the monitoring and con
trol level.
This research contributes to the study of the application of this technique in greenhouses deployed over large areas in our country. It offers solutions for networks of monitoring and control, in real time, and ensures a good performance according to the essential evaluating criteria, such as reducing the time-delay, and increases throughput, increases the delivery ratio of packets, and reduces the number of packets lost along with increased network load.
In order to do that, a number of scenarios are proposed. These scenarios are similar to the reality of the construction and operation of the greenhouses in our region relying on ZigBee technique. Wireless sensors networks of these scenarios have been tested, using simulation in order to make conclusion and recommendations to guide the work while installing such networks in place to work as their best for different areas and a large number of lounges
Wireless Sensor Networks (WSN) have applications in many different areas of life, such as health care, environmental monitoring, and military and economic areas and in industrial automation and many other applications.
The development of these net
works and the improvement of their performance occupy an important place of interest in research centers and specialized scientific institutes. The interest in these structures as a way to improve the performance of these networks leads to good results in this area. The cluster structure is one of the most important structures that have received increasing attention over recent years.
This research suggested a modification of the structure of the cluster tree WSN dividing clusters into sub-groups, and each group of these sub-groups operates like a tree from a small amount of nodes. The results that have been obtained by means of simulation indicate a significant improvement in terms of reducing energy consumption and thus an increase in the lifetime of the network, as compared to traditional cluster tree WSN. But that was at the expense of slightly lower rates of transmission and delivery ratio in the nodes of these networks. This leads us to recommend using this method to build the networks used to monitor protected agriculture and other networks with low transmission rates.
The spread of the modern data transfer techniques, in modern industrial and agricultural applications, and service areas, leads to the need to transfer this data effectively and flexibly, within installations parts.
This research aims to apply the h
ybrid mechanism, based on the use of ZigBee technology, and CAN Bus together to ensure the best performance, in accordance with the performance indicators required by the networks of these facilities, in near-real time operation. The study attempts to compare this mechanism with other mechanisms proposed in similar research.
The proposed solution supports the use of a hybrid data transfer networks, based on the internetworking of CAN Bus networks, using a backbone based on wireless ZigBee technology. This solution proposes an appropriate structure for gateways between the hybrid parts of the network. The research has concluded that the proposed mechanism preference, compared with the proposed mechanisms in similar research, according to the standards of performance indicators, is suitable for this kind of networks, as it allows us to recommend the use of this mechanism in the service and industrial applications. The NS2 network simulator is used to evaluate and compare the obtained results.
The wireless sensors network applications are widely used in health monitoring systems. In fact, they contribute to the qualitative development of these networks so as to ensure the tireless clock surveillance, and improve and regulate the quality of
monitoring. Associated with improving the performance of wireless medical sensor networks WMSN is improving data transfer mechanism which is one of the most important areas of interest to research and study in recent times.
Hence the importance of this research lies in the study of the structures of wireless sensor networks that can be used to control the wards in hospitals, health centers and monitoring care. The research also draws necessary recommendations and suggestions for the selection of appropriate medical wireless sensors networks structure and proposees appropriate medium access control mechanism in order to build networks of different sizes.
This has been done by proposing appropriate scenarios for surveillance applications to perform simulation that is similar to the working conditions of the networks. This can ensure the transfer of nodes data to the main access point and can give an opportunity to study the impact of network architecture and how to use the data transfer technology, specifically the use of ZigBee technology, both with beacon mode enabled inenabled. Improvement was evaluated based on the basic parameters in such networks, such as throughput, the time delay, and the delivery ratio. The study found a set of recommendations regarding the size of the network, the type of structure and the mechanism used to access medium.
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.
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.
