Top PDF ZigBee Wireless Sensor Network Model for Supporting Mobile Nodes

ZigBee Wireless Sensor Network Model for Supporting Mobile Nodes

ZigBee Wireless Sensor Network Model for Supporting Mobile Nodes

The simulation model of ZigBee WSN could support mobile nodes, because end devices select the active router nodes from the neighbor table to forward data packets, when end devices lose communication with the parent nodes. The end devices can immediately select the potential parent node route_2 as the temporary parent node of forwarding data after losing communication with the parent node route_1 at the emulation time 370 (see Figure 2). It can be seen that this model is feasible for supporting mobile nodes. The end devices, such as wireless sensors, can quickly reestablish the network topology and ensure the smooth flow of the network, after a parent node fails and other potential parent nodes are selected as temporary parent nodes for forwarding packets.
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Enhanced Simulation Model of ZigBee Wireless Sensor Network

Enhanced Simulation Model of ZigBee Wireless Sensor Network

OPNET has been used to design tree self-organizing multi-hop network model based on IEEE 802.15.4 protocol, and the network formation time, data frame transmission performance, throughput, failure and recovery of equipment are simulated [1]. The medium access control (MAC) layer was optimized and designed, and the performance of a sensor network was analyzed for the MAC layer of different competition mechanisms [2,3]. The ZigBee network simulation system based on OPNET adopted ZigBee models of OPNET [4,5], which had disadvantages of difficulty in modeling, overhead, network delay, poor scalability, unguaranteed network access to all nodes, authenticity of communication radius, and other issues [6]. It is difficult to be applied in practical application areas which have high performance requirements, such as high reliability and less network delay. In addition, failures and recoveries of nodes cannot be simulated according to needs of tests, when performing a large-scale sensor network test by using ZigBee models of OPNET. When interval of frame-generating is small, and length of information has large increase, some nodes will appear continuous automatic failures or abnormal simulation.
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Crosslayer Network Model For Zigbee Based Mobile Wireless Sensor Networks
Ravi Shankar Sharma & Naadem Divya

Crosslayer Network Model For Zigbee Based Mobile Wireless Sensor Networks Ravi Shankar Sharma & Naadem Divya

Survivability is one of the basic issues and the most critical research themes in the fields of wireless sensor networks (WSNs). Energy efficiency is one of the deciding elements for survivability and lifetime of WSNs. In the WSNs, serious vitality issue requires vitality effective way to deal with satisfy application objectives. In this paper, we propose an Energy Optimization Approach in light of Cross-Layer for Wireless Sensor Networks named as EOA, which consider the joint ideal plan of the physical, medium access control (MAC), and routing layer. The center of EOA is on the calculation of ideal transmission control, directing, and obligation cycle plan that upgrade the WSNs vitality proficiency. We first propose an input calculation that registers the best possible transmission control level between nodes. At that point, directing convention can make utilization of the transmission control as a metric by picking route with ideal power utilization to forward packets. At long last, the cross-layer directing data is abused to shape a duty- cycle plan in MAC layer.
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A survey of railway condition monitoring by ZIGBEE wireless sensor nodes

A survey of railway condition monitoring by ZIGBEE wireless sensor nodes

This paper has reviewed the range of WSNs used for condition monitoring in the railway industry. The emphasis is on the practical engineering solutions, principally which sensors devices are used and what they are used for; and, identification of sensor node configurations and network topologies. Until recently, railway inspection has been visually performed but this only examines objects superficially and transmits the data from the movable nodes to a static node when the static node is in range, or the movable nodes form a network with a base station within the network which transmits the data over a suitable mechanism, such as satellite or GSM. This paper focuses on the sensor technology used to generate condition monitoring data to enable practical condition monitoring systems. These data must be managed and turned into useful information to generate useful information. Condition monitoring systems must store large quantities of data to build models for analysis. The data must be validated first to ensure that they are correct and error- free (sensor faults, noise, null values, communication errors, etc.). This process may even be performed in the sensor node’s microcontroller; thus, only valid data are transmitted thus minimizing the transmission load. These data can then be processed in a number of different ways to generate information. Once data are collated, they can be analyzed using robust algorithms to identify faults in near real time. Algorithms need to be robust as WSN data is noisy, can be intermittent, may contain errors, has many interdependencies and the data volume is very high. The WSN data can also be stored and analyzed over longer time periods to identify long term progressive faults such as a slowly developing crack. Some systems incorporate contextual data that describe the ambient conditions, which will affect the object monitored. These contextual data can be built into models to improve the coverage and accuracy of the model and to help provide explanation of condition monitoring decisions.
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Improvement the Performance Of Mobility Pattern In Mobile Ad-Hoc Sensor Network using Qualnet 5.0

Improvement the Performance Of Mobility Pattern In Mobile Ad-Hoc Sensor Network using Qualnet 5.0

Abstract––A mobile ad-hoc sensor network usually consists of large number of sensor nodes (stationary or mobile) deployed over an area to be monitored. Each sensor node is a self-contained, battery-powered device that is capable of sensing, communication and some level of computation and data processing. Due to the large amount usage of sensors in the network, it is important to keep each node small and inexpensive. This strictly restricts its resources in terms of energy, memory, processing speed bandwidth. We simulate the Mobile ad-hoc sensor network for its performance analysis. we introduced the concept of communication range remoteness for mobile nodes through random way point mobility model. We characterized the mobility of nodes with new mobility patterns through AODV protocol, without breaking the backward compatibility with earlier versions. In this paper we will proposed two model as non mobility model and mobility model. And in this paper we will compare both models using the concept of mobile ad-hoc sensor network. The performance through the multiple node of non mobility model was found better in comparison of mobility model. . than we design the concept of antenna and improve the frequency of transmitting signal for mobility model,this model is known as design mobility model. In this paper we improve the performance of design mobility in comparison of non mobility model and mobility model. The performance analysis of mobility and non-mobility and design mobility model is done through simulations on a commercial simulator called Qualnet version 5.0, software that provides scalable simulations of Wireless networks.
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Design of Mobile 4G Gateway Based on Zigbee Wireless Sensor Network

Design of Mobile 4G Gateway Based on Zigbee Wireless Sensor Network

At present, wireless remote monitoring based on WSN generally uses ZigBee tech- nology. Because sensor nodes are usually placed in the area where people are incon- venient to reach, energy saving becomes an important index in remote monitoring. ZigBee technology is exactly in line with such requirements. WSN made up of ZigBee technology has the characteristics of simple structure, small size, low cost and so on, which can realize close range wireless connection. In long distance wireless connection, it can ensure the real-time and reliability of data transmission by using the mobile net- work resources such as global system for mobile communication (GSM)/GPRS and code division multiple access, which are constructed and managed by telecom opera- tors. The ZigBee technology and GPRS technology are combined and applied in wire- less remote monitoring, which has universal practicability and broad application pro- spects.
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A novel model of ZigBee in wireless sensor network based on CMOS image sensor and BP neural network

A novel model of ZigBee in wireless sensor network based on CMOS image sensor and BP neural network

Based on wireless sensor network ZigBee micro array constructed using GSM (Global System for mobile communication) network, CDMA (code division multiple access) network, Ethernet to realize the transmission and control of data, the network can be a star or hybrid topology and wake up on-demand communication module ZigBee, effectively reduce the power consumption of each ZigBee sensor nodes, reduce the probability sensor nodes to the sink node data collision. CMOS image sensor pixel existed in the past, the small signal to noise ratio, low resolution of these shortcomings, has been unable to compete and CCD technology. The paper presents a novel model of ZigBee in wireless sensor network based on CMOS image sensor and BP neural network.
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SOIL QUALITY MEASUREMENT USING WIRELESS COMMUNICATION

SOIL QUALITY MEASUREMENT USING WIRELESS COMMUNICATION

The main objective of the present paper is to develop a smart wireless sensor network (WSN) for anagricultural environment. Monitoring agricultural environment for various factors such as soil moisture,temperature and humidity along with other factors can be of significance. A traditional approach to measurethese factors in an agricultural environment meant individuals manually taking measurements andchecking them at various times. This paper investigates a remote monitoring system using Zigbee. These nodessend data wirelessly to a central server, which collects the data, stores it and will allow it to be analyzed thendisplayed as needed and can also be sent to the client mobile.
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Design Of Channel Model For Wireless Underground Sensor Network Using Zigbee

Design Of Channel Model For Wireless Underground Sensor Network Using Zigbee

In the previous case, wireless nodes and their networks are underground and impart through soil. For this situation, the WUSNs guarantee a wide assortment of different environmental monitoring, border irrigation, localization and infrastructure monitoring , 2006). In the recent case, despite the fact that the system is found underground, where communication happens through the air, i.e., through the air gaps that are there underground. For this situation, the WUSNs are important to enhance the wellbeing in mines which are the ground, to acknowledge helpful communication in drivers and road tunnels, and to dodge assaults by ceaselessly monitoring for these vulnerable territories. The main objective of the paper is to design an underground channel model to obtain the VWC of the mud and to calculate the path loss through soil. The software used is: MATLAB/Simulink for channel analysis, Arduino software
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Design of wireless sensor network node based on CyFi technology and ARM7 system

Design of wireless sensor network node based on CyFi technology and ARM7 system

Prediction of phase in the MCL algorithm, the node from the previous stage to calculate the set of possible locations Lt-1, for each sampling value mobile model application node to obtain a new set of sampled values Lt. The moving speed and direction of nodes is assumed unknown, and only know the speed value is less than Vmax then, if lit-1 is a possible location of the node, then the node where the current position is located may with lit-1 as the center, radius of circular Vmax region. If D (L1, L2) represents the Euclidean distance is between two points L1 and L2. And the moving speed of nodes in the interval [0, Vmax] follows a uniform distribution, then the node probability estimation of the current position of the previous position distribution can be uniformly distributed to form based on it, as is shown by equation4.
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Detection of Node Replication Attacks in MSN Using EDD Algorithms

Detection of Node Replication Attacks in MSN Using EDD Algorithms

1. Extremely Efficient Detection (XED): extremely Efficient Detection (XED), it’s against the node replication attack in mobile sensor network. The idea behind XED is motivated from the observation that for the networks without clones, if sensor node i meets another sensor node j at earlier time and I sends the random numbers to j , i and j meets again and again , i can assertion weather this is the node j met before requesting the random number r. This techniques developed to, challenge-and-response and encounter-number, are fundamentally different from the others. The two sensor nodes i and j within the communication ranges of each other, first it will generate the random numbers and it will exchange their generated random numbers. The generated random numbers and received random number in their respective memory. To generate the random number they use the cryptographic hash function to store the node value. Here the replica does not possess the correct random number. This node can be attributed to the fact that each node detects the replica by itself and will detect the replica at different time period. The XED scheme is composed of two steps: online step and offline step. In offline step security parameter cryptographic hash functions stored in each node. 2. Efficient and Distributed Detection of Node: The idea behind EDD is motivated by some observations. For a network without replicas, the number of times, X1, in a node U encounters a particular node V, should be limited with the time period with high probability. The replicas V, the minimum number of times, X2, in which U encounters the replicas with same ID V, should be larger than a threshold within the equal time period. According to these observations, if each node can discriminate between these two cases, every node has the ability to identify the replicas. The EDD scheme is composed as two steps: offline step and online step .The offline step performed by the network before the sensor deployment. The objective is to calculate the parameters, length T of the time interval and threshold used for discrimination between the honest nodes and the replica nodes. The online step performed by each node per move. Each node checks the encountered nodes are replicas with the corresponding number of encounter at the time interval period. It has the lower communication overhead.
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Analysis of Routing Protocols for Mobile Sink in Wireless Sensor Networks: A Survey

Analysis of Routing Protocols for Mobile Sink in Wireless Sensor Networks: A Survey

Wireless sensor network is consist of finite large number of autonomous sensor with sensing, routing and communication advancement[1].There are sufficient number of application of wireless sensor network in area of home automation, environmental monitoring, military operations and health issues. The sensor node sense information from object of the physical world and route to the nearest hop node. In the multiple mobile base station, there are at least two mobile sinks, have the responsibility to receiving the information sense by the sensor for further processing or making decision based on the observation and performing appropriate action. The main challenging issue of wireless sensor network are minimization of node energy consumption for increasing the network lifetime.
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STRENGTHENING ANTI JAM GPS SYSTEM WITH ADAPTIVE PHASE ONLY NULLING USING 
EVOLUTIONARY ALGORITHMS

STRENGTHENING ANTI JAM GPS SYSTEM WITH ADAPTIVE PHASE ONLY NULLING USING EVOLUTIONARY ALGORITHMS

One of the main challenges of wireless sensor network is maximization of the lifetime of the sensor node since the energy efficiency determines the lifetime of a sensor node, power consumption of the sensing device should be minimized. To conserve power, sensor node should shut off the power supply when not in use. In this paper, we present some energy efficient algorithms to enhance the network lifetime. By introducing sink mobility into wireless sensor networks, the network performance including lifetime, energy efficiency and end-to-end delay can be enhanced. Further, by increasing the number of sleep nodes using smack sets, the network performance can be greatly improved. The Energy-efficient Fixed-sink Clustering Algorithm (EFCA) and Energy-efficient Mobile-sink Clustering Algorithm (EMCA) have been simulated in the NS-2.32 surroundings.
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ABSTRACT: Zigbee wireless communication technology is a kind of newly arisen wireless network technology;

ABSTRACT: Zigbee wireless communication technology is a kind of newly arisen wireless network technology;

ABSTRACT: Zigbee wireless communication technology is a kind of newly arisen wireless network technology; the characteristic is short distance communication, low speed, low power dissipation, and low cost. It, application of Zigbee wireless communication technology, makes that inconvenient wire repeat can be avoided in the area of home, factory, hospital, etc. With the rapid development of IT industry and the strong functional expansion of SCM, Zigbee wireless communication technology will play an important role in wireless sensor network (WSN). In this paper, Zigbee wireless communication technology and the process of establishing Zigbee network are introduced, the application of Zigbee wireless communication technology is studied in the real world
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Comparative Evaluation of Three Wireless Sensor Network Transceivers in a High Radiation Environment

Comparative Evaluation of Three Wireless Sensor Network Transceivers in a High Radiation Environment

One of the lessons from Fukushima Daiichi nuclear disaster is the difficulty to gain up-to-date status about the key plant status, such as water levels in spent fuel bays, hydrogen concentration in reactor buildings, and temperatures in heat transport systems, after the accident due to loss of on-site power for monitoring instruments and strong radiation [1]. Considering various potential scenarios during a severe accident, a potential approach is to use wireless technologies to implement post-accident monitoring system (PAMS) which can provide much needed information about the plant conditions without relying on likely damaged communication infrastructure [1-3].
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A Wireless Physiological Monitoring System for Hyperbaric Oxygen Chamber

A Wireless Physiological Monitoring System for Hyperbaric Oxygen Chamber

The major idea of this paper is to develop a wearable physiological parameters equipment based on wireless sensor technology, which can be better adapt to the special environment of hyperbaric oxygen chamber and the need of clinical treatment. The system can be used to monitor physiological parameters such as blood pressure, temperature and pulse rate. Because of the power-saving mode of the hardware and software, the end device in the hyperbaric oxygen chamber can be powered by battery. After collection and conversion, the signal will be displayed on the screen which in the chamber, and at the same time the signal can be transmitted to the central monitoring terminal (host computer) which outside the chamber through the Zigbee wireless transmission technology, so the monitoring system can realize synchronous monitoring inside and outside the chamber.
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Design and Development of a Security Surveillance System based on Wireless Sensor Network

Design and Development of a Security Surveillance System based on Wireless Sensor Network

The initial functional requirements to be provided by the application software at the following nodes, main BS, BS, camera sensor node are as follows. At the main BS, the software must provide formatting, signal processing and algorithmic analysis of the sensor data; synchronization of data with the cloud platform, initialization and synchronization of all camera sensor nodes. Ensure security and privacy of the data. At the BS and the camera sensor nodes, the software needs to perform basic communication between node to node and node to BS while mobile nodes require additional software functionalities. The mobile node requires a special mobile application that will connect to the user’s smart phone as it can communicate only at 2.4 GHz band. When the user initiates the mobile application, the application connects to the wifi SSID broadcasted from the mobile camera sensor node. The data is transferred, stored on the user’s phone and sent to the BS via the existing BS wifi connections or directly via general packet radio service (GPRS) to the cloud storage depending on the user preference. The mesh network design in Figure 1 was implemented using Mikrotik HWMP+ routing algorithm in [12].
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Improved Cluster based Routing Protocol for Mobile Nodes in Wireless Sensor Network

Improved Cluster based Routing Protocol for Mobile Nodes in Wireless Sensor Network

In some environment, mobility in sensor nodes is very important. To handle the mobility in sensor nodes, routing protocol should be aware of packet loss. So, a new routing protocol is proposed called Improved Cluster Based Routing Algorithm for Mobile nodes in WSN. This is a routing protocol in which it reduces the unnecessary broadcast and collision of sensor nodes. The Improved Cluster Based Routing Algorithm shows the significant improvement in packet delay and unwanted traffic that cause collision in mobile nodes as compared to CBR-Mobile WSN protocol. Though improved CBR mobile-WSN works better than original CBR mobile- WSN, improved CBR is not completely efficient protocol. It is definitely an improvement over original CBR mobile-WSN, but still there are some improvements can be done in improved CBR mobile-WSN in terms of security of data. Data should be secure while travelling in mobile WSN.
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X-RAYING NEIGHBOUR DISCOVERY IN A WIRELESS SENSOR NETWORK COMPRISING OF NON-HOMOGENEOUS NODES

X-RAYING NEIGHBOUR DISCOVERY IN A WIRELESS SENSOR NETWORK COMPRISING OF NON-HOMOGENEOUS NODES

The wireless sensor network model adopted in this paper, assumed that the nodes are randomly deployed in the sensor field and their first task is to be able to detect their immediate neighbours (i.e., nodes that have direct wireless communication with them). In situations where the network is characterized by continuously heavy traffic the sensor nodes are not required to invoke any special neighbour discovery protocol. This is because any node that has lost connectivity to its neighbours can rediscover its neighbours by simply listening to the communication channel for a short time period. However, in wireless sensor networks characterized by irregular traffic, a special neighbour discovery scheme is needed instead. This is the fulcrum upon which this paper is based.
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A High-Resolution Sensor Network for Monitoring Glacier Dynamics

A High-Resolution Sensor Network for Monitoring Glacier Dynamics

Abstract—This paper provides an overview of a wide area wireless sensor network that was deployed on the calving front of the Helheim Glacier in Greenland during the summer of 2013. The purpose of the network was to measure the flow rate of the glacier using accurate satellite positioning data. The challenge in this extreme environment was to collect data in real time at the calving edge of the glacier. This was achieved using a solar powered 2.4 GHz Zigbee wireless sensor network operated in a novel hybrid cellular/mesh access architecture consisting of ice nodes communicating with base stations placed on the rock adjacent to the glacier. This highly challenging transmission environment created substantial signal outage conditions which were successfully mitigated by a radio network diversity scheme. The network development and measurement campaign were highly successful yielding significant results on glacial dynamics associated with climate change.
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