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Efficient and effective data acquisition is of theoretical and practical importance in WSN applications because data measured and collected by WSN is often unreliable, such as those often accompanied by noise and error, missing values or inconsistent data. Motivated by fog computing, which focuses on how to effectively offload computation-intensive tasks from resource-constrained devices, this paper...
Wireless sensor networks (WSNs) are usually deployed in insecure remote and open environments. Nodes could be attacked and compromised. The attacker can use compromised sensor nodes to disrupt communications or inject misleading sensor values. Misleading data can corrupt the entire decision making process, which depends upon WSN data. We propose a trust mechanism, which evaluates communication trust...
Recently, IoT (Internet of Things) devices are disseminated into various kind of life circumstances. In network which consists of tremendous nodes, WSN (Wireless Sensor Network) attracts the attention of manufacturers who want to build data collecting network for realizing wealthy life for human. WSN can establish wireless network for relaying the obtained data from sensor nodes to the sink node while...
Wireless Sensor Network is new technology to world and country like India where it can used in Agriculture Sector in India for increasing yield output by providing early prediction of plant diseases and pest. This can be happen by taking raw data from field where WSN network is install and with fitting appropriate machine learning model for this data to get predicted output. This paper gives an idea...
WSNs are often besieged with issues related to interference when transmissions of two or more closely located sensor nodes interfere with each other. This forces the data aggregating nodes to receive distorted, faulty or interference ridden signals, which severely affects the fidelity of data being aggregated. If such faults are not arrested at the source, interference laden transmissions or Interference-Faults...
With enormous growth of wireless communication technologies, mobile phone plays an important role in future development of ubiquitous network. New cellular devices are equipped with powerful computing, communicating and storage facilities which will improve scalability, energy efficiency and decrease packet delay, etc. The performance metrics like coverage, enhanced target tracking and superior channel...
The area of wireless sensor network (WSN) has always been the pivotal point of attention for various researchers for more than a decade. Although WSN is featured with various advantageous characteristics, still it is shrouded with various issues that dampen the spirit of researchers. Various significant problems that are being addressed in the literature are energy issues, security issues, bandwidth...
The role of Internet of Things (IoT) in facilitating connectivity of the wireless sensor network (WSN) to the remote server or cloud over the Internet encourages the formation of a highly complex system with significant potential. This enable the interaction between the physical and virtual sensor clouds resulting in the ability to allow for flexibility within the physical system to adapt with the...
In order to improve the location accuracy in the complicated greenhouse environment, a positioning system is designed in this paper. According to RSSI data in the greenhouse, the parameters of the path-loss model are modified. Besides, least square estimation is used to filter RSSI data to eliminate random disturbance. Based on RSSI, the blind node is positioned by triangle centroid location method...
Straightline routing v2 algorithm is one of the optimized proposed model to route the data packets efficiently in multi hop heterogeneous Wireless sensor networks. Due to the constraint of WSN in terms of topology, connectivity, a theory about Next hop graph is proposed. In this paper the advent of the next hop graph is generated by supplimenting the graph into the ring based super node structure...
Nowadays, the development of e-health concept is offering various aspects. In this paper, we present a novel website architecture. Designed for an e-health platform based on a wireless sensor network (WSN), this website offers the ergonomic and multi-functions opportunity for an ambient intelligent hospital. It enables the management of patients' records, real time patient's state monitoring based...
By way of reducing the active time of sensor nodes, this paper proposed an energy efficient data convergence model which is adaptable for cold chain application. The model runs on hierarchical wireless sensor network architecture, which aims at finding an optimal sleep/wake up schedule that can coordinate the data sending time slot for both cluster nodes and routing nodes. It can avoid data re-transmission...
Wireless Sensor Network (WSN) is multiple hops network. Nodes near sink are required to transmit a large amount of data and expend energy rapidly. These nodes die early and outer nodes can not send data to sink. Therefore the network dies early with much unused energy. This phenomenon is called energy hole. Aiming at energy hole problem of WSN, a novel solution is proposed in this paper. According...
Data fusion is one of the subsystems in data aggregation that aims to conserve power consumption by reducing the size of the transmitted data. The purpose of this paper is to present a simple data fusion mechanism called local data differentiation (LDD) for actual implementation in micro-controlled sensor nodes. LDD requires the end node to calculate the average value of an initially sampled data...
Wireless sensor network is mainly used for real time applications which raise fundamental problems. These problems are like limited energy resources and replacement task. Therefore good functioning of such networks depends on energies of nodes. In this paper we have introduced analytical model which predict the energy consumption. We have also compared two different formats of nodes which are organized...
The usage of IEEE 802.15.4, Wireless Sensor Networks in our daily life has shown exponential growth in the past decade. Localization of wireless sensor networks is the most critical aspects of this network. One of the major models used in localization, uses Multilayered Perceptron for training its data. This paper focuses on the impact of various MLP training functions on range based localization...
Supervisory Control and Data Acquisition (SCADA) system is a computer system for collecting and analysing data in almost real-time fashion for monitoring and control of electric powersystem applications. Thus, communication channels play a core role in SCADA systems implementation. The use of wireless sensor network (WSN) communication can, however, lead to a more flexible and powerful electric power...
In a Wireless Sensor Network (WSN) hundreds of tiny sensors with limited resources are accommodated to sense the information from the field. Transfer of gathered information from the sensing field to the base station must be done in proficiently to sustain the network longer. Clustering of sensor nodes is one way to achieve this goal. This paper introduces an Energy Efficient clustered routing protocol...
To provide reliable and adequate network coverage whilst minimizing the cost of wireless sensor network (WSN) deployments, detailed knowledge of wireless signal propagation within the specific environments is required. There are many WSN devices on the market that have been developed using proprietary systems and therefore have different performances, although implementing similar standards. This...
To improve the security of wireless sensor network (WSN), this paper designed a dynamic immunity-based intrusion detection model for WSN. The model mainly achieved the generation of detector and antigen detection. In the process of antigen detection, the self model class was introduced to filter self element and reduce the workload of the detector. In the process of detector generation, the model...
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