scholarly journals A Prediction System Using a P2P Overlay Network for a Bus Arrival System

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Ssu-Hsuan Lu ◽  
Yu-Wei Chan

Along with the evolution of times and the surge of metropolitan populations, government agencies often promote the construction of public transport. Unlike rail transportation or rapid transit systems, it is often difficult to estimate the vehicle arrival times at each station in a bus transportation system due to metropolitan transportation congestion. Traffic status is often monitored using wireless sensor networks (WSNs). However, WSNs are always separated from one another spatially. Recent studies have considered the connection of multiple sensor networks. This study considers a combination view of peer-to-peer (P2P) overlay networks and WSN architecture to predict bus arrival times. Each bus station, which is also a P2P overlay peer, is connected in a P2P overlay network. A sensor installed in each bus can receive data via peers to obtain the moving speed of a bus. Then, each peer can exchange its data to predict bus arrival times at bus stations. This method can considerably increase the accuracy with which bus arrival times can be predicted and can provide traffic status with high precision. Furthermore, these data can also be used to plan new bus routes according to the information gathered.

Author(s):  
Manoshri A. Ghawade ◽  
Dr. Sheetal S. Dhande

Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a battlefield. The intrusion detection is defined as a mechanism for a WSN to detect the existence of inappropriate, incorrect, or anomalous moving attackers. In this paper, we consider this issue according to heterogeneous WSN models. Furthermore, we consider two sensing detection models: single-sensing detection and multiple-sensing detection... Our simulation results show the advantage of multiple sensor heterogeneous WSNs.


Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3215 ◽  
Author(s):  
Malvin Nkomo ◽  
Gerhard P. Hancke ◽  
Adnan M. Abu-Mahfouz ◽  
Saurabh Sinha ◽  
Adeiza. J. Onumanyi

In recent times, Wireless Sensor Networks (WSNs) are broadly applied in the Industrial Internet of Things (IIoT) in order to enhance the productivity and efficiency of existing and prospective manufacturing industries. In particular, an area of interest that concerns the use of WSNs in IIoT is the concept of sensor network virtualization and overlay networks. Both network virtualization and overlay networks are considered contemporary because they provide the capacity to create services and applications at the edge of existing virtual networks without changing the underlying infrastructure. This capability makes both network virtualization and overlay network services highly beneficial, particularly for the dynamic needs of IIoT based applications such as in smart industry applications, smart city, and smart home applications. Consequently, the study of both WSN virtualization and overlay networks has become highly patronized in the literature, leading to the growth and maturity of the research area. In line with this growth, this paper provides a review of the development made thus far concerning virtualized sensor networks, with emphasis on the application of overlay networks in IIoT. Principally, the process of virtualization in WSN is discussed along with its importance in IIoT applications. Different challenges in WSN are also presented along with possible solutions given by the use of virtualized WSNs. Further details are also presented concerning the use of overlay networks as the next step to supporting virtualization in shared sensor networks. Our discussion closes with an exposition of the existing challenges in the use of virtualized WSN for IIoT applications. In general, because overlay networks will be contributory to the future development and advancement of smart industrial and smart city applications, this review may be considered by researchers as a reference point for those particularly interested in the study of this growing field.


Author(s):  
Balika J. Chelliah ◽  
M. S. Antony Vigil ◽  
M. S. Bennet Praba

Wireless sensor networks consist of number of sensor nodes widely distributed in particular region to communicate and sharing the environmental information and also these data’s are stored in central location for further data prediction. Such nodes are susceptible to cloning attack where the adversary captures a node, replicates with the same identity as that of the captured node and deploys the clone back into the network, causing severe harm to the network. Hence to thwart such attacks, a distributed detection protocol is used with initiator-observer-inspector roles assigned randomly for the nodes to witness the clone and thereby broadcast the evidence through a balanced overlay network. Use of such balanced network provides high security level and reduces the communication cost when compared to other overlay networks with a reasonably less storage consumption.


2009 ◽  
Vol 5 (5) ◽  
pp. 596-618
Author(s):  
Shung Han Cho ◽  
Jinseok Lee ◽  
Sangjin Hong ◽  
WeDuke Cho

This article presents a method for dynamic data association in wireless sensor networks and addresses the issue of multiple objects tracking. The sensor node used in this article incorporates RFID reader and an acoustic sensor so that two different signals are cooperating for tracking and associating multiple objects. The RFID tag is used for object identification and an acoustic sensor is used for estimating object movements. In the heterogeneous sensor networks, our proposed association method is analyzed with association success, failure, and recovery cases. In addition, 2-dimensional (2D) particle filtering is used for estimating a objects state such as position and velocity. The performance is compared between a single sensor node and multiple sensor nodes in our proposed algorithm. In addition, the association performance with multiple sensor nodes is evaluated as a function of sampling time and object movement behavior. Finally, the effect of the two heterogeneous sensors range difference is analyzed and discussed.


2015 ◽  
Vol 60 ◽  
pp. 121-137 ◽  
Author(s):  
Francesco Carrabs ◽  
Raffaele Cerulli ◽  
Ciriaco D׳Ambrosio ◽  
Monica Gentili ◽  
Andrea Raiconi

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Adnan Anwar Awan ◽  
Muhammad Amir Khan ◽  
Aqdas Naveed Malik ◽  
Syed Ayaz Ali Shah ◽  
Aamir Shahzad ◽  
...  

Wireless sensor networks (WSNs) deployed in harsh and unfavorable environments become inoperable because of the failure of multiple sensor nodes. This results into the division of WSNs into small disjoint networks and causes stoppage of the transmission to the sink node. Furthermore, the internodal collaboration among sensor nodes also gets disturbed. Internodal connectivity is essential for the usefulness of WSNs. The arrangement of this connectivity could be setup at the time of network startup. If multiple sensor nodes fail, the tasks assigned to those nodes cannot be performed; hence, the objective of such WSNs will be compromised. Recently, different techniques for repositioning of sensor nodes to recover the connectivity have been proposed. Although capable to restore connectivity, these techniques do not focus on the coverage loss. The objective of this research is to provide a solution for both coverage and connectivity via an integrated approach. A novel technique to reposition neighbouring nodes for multinode failure is introduced. In this technique, neighbouring nodes of the failed nodes relocate themselves one by one and come back to their original location after some allocated time. Hence, it restores both prefailure connectivity and coverage. The simulations show our proposed technique outperforms other baseline techniques.


2018 ◽  
Vol 14 (02) ◽  
pp. 24 ◽  
Author(s):  
Wu Yuanjun

In order to adapt to the characteristics of multi network convergence of IOT, this paper sorts out and summarizes the development status and existing problems of Internet of things (IOT) and wireless sensor network (WSN) as well as the key points for future research. Based on the existing research, the wireless sensor topology SORCA protocol is improved, and an energy saving intrusion tolerant network topology SORCA-W generation method is proposed, which realizes the interconnection of multiple sensor networks. Firstly, according to the location of nodes, the network is divided into topology network composed of hexagonal units. Through adding different network nodes collection summary, the neighbor table is judged and modified, and the name of the network is added. As a result, it is concluded that a plurality of wireless sensor networks can be connected for communication, which realizes the multi network integration of perception layer of Internet of things


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