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Farmland moisture sensor network (FMSN) has the characteristics of ultra-large-scale, cheap and unreliable sensor nodes which bring more difficult in moisture data gathering, especially in time synchronization. Since sensor clocks are imperfect, local clock of nodes may drift away from each other in a period of time. Thus observed time or time intervals may differ in each node in the network while...
Broadcast authentication plays an important role in wireless sensor networks. In this paper, we propose key predistribution based broadcast authentication scheme. In the scheme the base station can derive all keys used for broadcast authentication from initial parameters and sensor nodes are just able to deduce keys excluding authentic keys from initial parameters stored before deployment according...
We perform real-world tests of the performance of medium access control protocol schemes for scalable data aggregation in sensor networks. Specifically, we evaluate the performance of a Listen-and-Suppress Carrier Sense Multiple Access (LAS-CSMA) scheme on the duplicate-insensitive exemplary monotonic aggregates MAX and MIN. These schemes reduce power consumption, network bandwidth usage and delays...
Data aggregation is a crucial technique for energy constrained sensor networks. Previous researches on data aggregation are featured as query-oriented, which only provide partial information of the event happened in the deployment area at the base station. In this paper, we propose an event-oriented data aggregation approach, called EDA. EDA presents the distributed algorithm by exploiting Cloud Membership...
We consider problems where multiple agents cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchange state information. Since communication costs can be significant, we seek conditions under which communication of state information among nodes can be minimized while still ensuring that the optimization process converges. In prior...
Focused on the energy consumption and the network delay in wireless sensor network applied to emergent event monitoring, a new data gathering algorithm based on mobile agent (DGMA) is proposed for the cluster-based wireless sensor network. The process of dynamically clustering the sensor nodes is based on the event severity, by which the scale and lifetime of clusters are determined. And a virtual...
In this study, we propose intersection collision avoidance system in preventing traffic crashes at typical urban intersections. The proposed intersection crash prevention system would display the crash warning messages to the drivers when crash-prone conditions are detected through the sensor system installed along intersection approaches. It would further change the traffic signal setting in real-time,...
The research is centered on sensor networks with two types of nodes. The low end nodes are simple and low cost, while the high end nodes are costly but provide significantly more processing power. In this type of sensor networks, the low end nodes are clustered and report to a high end node, which is turn uses a network backbone to send data to a base station. In this research we have configured a...
We consider the problem of planning path of a ??data mule?? in a cluster based sensor networks. Recent research shows that significant energy saving can be achieved by using this mobile data collection nodes. Although a data mule (DM) can reduce the energy consumption of the cluster head (CH), it increases the latency from the time the CH gain the data to the time the base station receives it. To...
Modern cellular networks commonly deploy rapid channel rate adaptation to vary the wireless capacity in response to channel conditions while maintaining a fixed target error rate (typically 1%). Although desirable in terms of throughput for inelastic applications that do not adapt to network conditions, a low fixed target error rate incurs the expense of significant power consumption, especially at...
This paper investigates fundamental performance limits of medium access control (MAC) protocols for particular underwater multi-hop sensor networks under a fair-access criterion requiring that sensors have an equal rate of underwater frame delivery to a base station. Tight upper bounds on network utilization and tight lower bounds on minimum time between samples are derived for fixed linear topology...
Time information and time synchronization are fundamental building blocks in wireless sensor networks since many sensor network applications need time information for object tracking, consistent state updates, duplicate detection and temporal order delivery. Various time synchronization protocols have been proposed for sensor networks because of the characteristics of sensor networks which have limited...
Due to the unattended nature of wireless sensor networks, an adversary can physically capture and compromise sensor nodes and then mount a variety of attacks with these compromised nodes. To minimize the damage incurred by compromised nodes, the system should detect and revoke them as soon as possible. To meet this need, we propose a zone-based node compromise detection and revocation scheme in sensor...
Using multimedia sensor nodes can enhance the capability of wireless sensor networks (WSNs) for event description. In some scenarios, e.g., an erupting volcano, the WSNs are not deployed to work for long time. Instead, the WSNs aim to deliver continuous and reliable multimedia data as much as possible within an expected lifetime. In this paper, we focus on the efficient multimedia data gathering in...
Hierarchical architectures are more and more widely adopted for organizing wireless sensor networks. In such architectures, middle-tier nodes take important roles, and preventing a malicious node from impersonating a middle-tier node and injecting falsified messages becomes critical. In this paper, we propose an energy efficient, distributed scheme to secure the multicast messages from the middle-tier...
Backbone formation has been used extensively in various aspects for wireless sensor networks recently. Many methods are mostly designed to minimize the size of the backbone or find small cost path. This paper propose the Artificial Neural Networks Routing (ANNR) algorithm which use self-organizing map to measure the Quality of Service supported by the networks. A method of offline process and online...
Due to the communication devices on sensor nodes have limited battery capacity and transmission range, wireless sensor networks (WSNs) are considered to be energy constrained. In this paper, we propose a novel clustering algorithm called limiting member node clustering (LmC) algorithm to limit the number of member nodes for each cluster head by using a threshold value. The proposed clustering approach...
The objective of YushanNet is to provide a reliable and robust system for hiker tracking in Yushan National Park, Taiwan. The aggregated information can help national parks to provide various services to tourists, and the collected hiking traces can provide more precise information to professional rescue teams if there are hikers lost in the mountains. YushanNet is a delay and disruption tolerant...
Wireless sensor networks are battery-powered ad-hoc networks in which sensor nodes are scattered over a region. These nodes connect to each other and form multi-hop networks. These networks are used for various applications such as habitat monitoring, automation, and agriculture. Almost all the existing sensor networks focus on homogenous sensor networks. Homogenous sensor networks are identical sensors...
Wireless sensor network (WSN) is made up of a number of sensor nodes and base stations. The ad hoc nature of sensor deployment produces unpredictable patterns of connectivity and varied node density. Consequently, uneven bandwidth provisioning will occur on the forwarding paths. As the data converge towards the same base station, congestion may occur at sensors that receive more data than its maximum...
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