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The BROGO algorithm has been recently presented for Leader Election in Wireless Sensor and IoT Networks, where after finding a spanning tree of a network, each leaf will route a message through its branch to the root in order to determine the leader in that branch. The root will then elect the global leader among the received branch leaders. The main drawback of this algorithm is a possible failure...
In this paper, we investigate the quality of information (QoI) maximization problem by jointly optimizing the sampling rate, packet-dropped rate, and transmit power in wireless sensor networks (WSNs). We consider a complicated but practical scenario, where various tasks with heterogeneous traffic are supported by one WSN simultaneously. Accordingly, the QoI maximization problem is formulated as a...
The performance of fingerprint based indoor localization techniques is significantly degraded by environmental dynamics especially when devices such as Wi-Fi access points (APs), which are used to build fingerprint database, are densely deployed. The primary reason is that the plug-and-play feature of these devices would render the fingerprints in the database invalid. Worsestill, the time-varying...
Many of the existing Leader Election algorithms don't deal with energy consumption and fault tolerance since they are not mainly dedicated to autonomous systems like wireless sensor and IoT networks. It is possible to use the classical Minimum Finding (MinFind) algorithm, where each node sends its value in a broadcast mode each time a better value is received. This process is very energy consuming...
Data delivery in low power and lossy networks like Wireless Sensor Networks (WSN), which has a significant role in Internet of Things (IoT), is vital due to the high probability of packet loss due to wireless and constrained environment. Data caching and transmission rate control are independent ways of improving the performance of transport protocols in WSN by immediately responding to packet losses...
Sensor networks have been widely used in environment monitoring. Although there are some related works about water pollution monitoring and water pollution source localization using sensor networks, there are many problems which have not been solved so far. In this paper, the current research status on water pollution monitoring and water pollution source localization in sensor networks is illustrated...
Finding a dominating set in a Wireless Sensor Network can be used for the clustering or the routing. There is an abundant literature on methods, centralized or distributed, for detecting these sets. In this work, we propose a new distributed algorithm for the search of the nodes forming a dominating set in a wireless sensor network, which uses a new concept called Wait-Before-Starting that allows...
Wireless sensor networks query processing is useful for sensing systems, such as environmental monitoring. Innetworks query processing is attracted by researchers to develop user-friendly sensing systems. Due to the sensors considered as a limited resource and battery powered devices, more robust features are recommended to limit the communication access to the sensor nodes for maximizing the sensor...
Wireless SAW resonant sensors have been widely used in many applications, especially in harsh environment. The sensor is detected when the echo signal spectrum processed by Fourier transform exceeds a threshold. Because of complicated noise and electromagnetic interference in wireless channel, the threshold should be adaptive to interference in order to detect the sensor accurately. However, few researches...
In last few decades, as a result of the advances in microelectromechanical systems, Wireless Sensor Networks (WSNs) have gained a considerable attention due to their low-cost, low-power and small-scale sensor nodes which are used to integrate sensing, processing, communicating capabilities to solve many different real world problems. The placement of sensor nodes is a very important step to cover...
The existing privacy-preserving data aggregation methods in wireless sensor networks (WSNs) generally rely on a network infrastructure, and data privacy is achieved by encryption techniques. However, such an infrastructure is very susceptible to the dynamic network topologies, and excessive encryption process causes a high energy consumption and re-duces the accuracy of the aggregation results. In...
Graph filters, which are considered as the workhorses of graph signal analysis in the emerging field of signal processing on graphs, are useful for many applications such as distributed estimation in wireless sensor networks. Many of these tasks are based on basic distributed operators such as consensus, which are carried out by sensor devices under limited energy supply. To cope with the energy constraints,...
Because of the limited energies of sensors, efficient data gathering in wireless sensor network has been received a great deal of attention recently. To prolong the network lifetime, in this paper, we study the problem of scheduling a mobile sink to some specific nodes, termed anchor nodes in this paper, for data collection and reducing the energy consumption of data transmission. While considering...
In wireless sensor networks(WSNs), energy-efficiency and packet time delay are two major considerations in the design of medium access control(MAC) or routing algorithms. However, these two metrics always can't be satisfied at the same time, and existing works do not trade offthem well. In this paper, we first exploit a prediction model to evaluate the amount of packet in the next period. Then we...
Spatial outlier detection in wireless sensor network (WSN) can detect the objects whose non-spatial attributes are significantly different from their spatial neighbors, so as to ensure the reliability and accuracy of sensor data before decision-making process. The main drawback of existing spatial outlier detection algorithms is high user-dependency, which is not suitable for dynamic WSN data. This...
The load-balanced clustering is a most significant problem for WSNs with unequal load of the sensor nodes but it is known to be an NP-hard problem. This paper introduces a new model for the problem in which the objective function is to maximize the overall minimum lifetime of the cluster heads. To solve this model, we propose a novel estimation of distribution algorithm based dynamic clustering approach...
Wireless sensor networks (WSNs) are commonly used to monitor changes in an environment and prevent disasters such as structural instability, forest fires, and tsunami. WSNs should rapidly respond to changes, and must process and analyze sensor data in a distributed way to minimize battery consumption. On the other hand, machine learning (ML) algorithms are a powerful tool for data analyzing. However,...
The first step in the deployment of wireless sensor networks for real-life applications is sensor placement. This step is of primary importance as it not only determines the network's cost, but also affects energy consumption, network lifetime, and the quality of service provided by the network. In this paper, we tackle the sensor placement problem that is NP-hard. The goal is to optimize the number...
Wireless Sensor Networks(WSNs) are expected to be used in a variety of different applications. One of the most important problems in WSNs is sweep coverage. Sweep coverage utilizes mobile sensor nodes to monitor Points Of Interests (POIs). Thanks to the mobility, sweep coverage can cover more POIs using fewer sensor nodes. In practice, mobile sensor nodes can often collect the data from POIs at a...
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