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The decentralized detection of events is a primary task in many applications of wireless sensor networks. Since energy consumption is the main constraint in networks of battery-powered sensors, as it limits their lifetime, taking explicitly into account the energy costs in the design of any decentralized detection algorithm becomes a major issue. Based on state-of-the-art censoring techniques and...
A principal issue for wireless sensor networks is energy efficiency, which is necessary for prolonging applications to track continuous object, such as wild fire and poison gas. Selective wakeup approach is an effective way to save energy in such networks. However, most previous studies on selective wakeup schemes have concentrated on individual objects, such as intruders and tanks, and they cannot...
Currently, in Wireless Sensor Networks (WSNs), the main idea in most localization algorithms has been that a mobile anchor node, e.g., GPS-equipped (Global Positioning System) nodes, broadcasts its coordinates to locate unknown nodes. In this case, a basic problem is the path planning of the mobile anchor node which should move along the trajectory to minimize the localization error and locate the...
We address the problem of boundary recognition in wireless sensor networks and propose a new self-detection algorithm that identifies the boundary of the network and available holes with high degree of accuracy and efficiency. It is a self-detection algorithm in which every node in the network determines its position, whether it resides on the boundary or inside the network. We show that our algorithm...
We consider the problem of failure management in wireless sensor networks (WSN). In such networks, nodes can be subject to frequent failures due to energy depletion and the hostile deployment environment. Our work focuses on local crash process detection in WSN considering intermittent failures due to lossy radio links. As a part of this problem, we introduce a new type of Adaptive Neighborhood Failure...
Mobile target tracking consists in detecting and locating targets in a surveillance region. Wireless Multimedia Sensor Networks (WMSN) can provide more information about the moving target than classical Wireless Sensor Networks (WSN), but their process and the transmission of multimedia data are costly which reduces the network's lifetime. In this paper, we propose a low-cost new solution for tracking...
Dense sensor networks are typically deployed for fine-grain monitoring in a wide range of applications. Due to this high density of nodes, it is very likely that both spatially correlated information and redundant data be detected by several nearby nodes, which can be exploited to save energy by these nodes that are sensing an event. In this work, we propose an Energy-Aware Spatial Correlation mechanism...
In this paper, The Monte Carlo localization algorithm based on RSS is proposed, which calibrate the weights between mobile node and each anchor nodes by using the distance between anchor nodes and mobile nodes measured RSS values. This method avoids the filter conditions of MCL method which makes it impossible to get enough valid samples and resample to bring a large number of calculations. Simulation...
Due to the severe resource constraints of sensor hardware, energy efficiency is a principal factor for detecting and tracking the movement of the large-scale phenomena such as wild fire, poison gas and hazardous bio-chemical material, denoted by continuous objects. In order to save the energy, the selective wakeup approach is effective way in the wireless sensor networks. However, most previous researches...
Optimum selection of sensors in target tracking applications has a great potential to maintain right trade-off between energy consumption and quality of tracking. In this paper, we propose a dynamic sensor selection scheme to achieve energy efficiency while ensuring the required quality of tracking. To this end, relative information utility projection of a target on sensors' observation is used in...
This paper addresses energy-efficient data gathering issues in wireless sensor networks (WSNs). Leveraging data correlation in densely-deployed sensor networks, we propose an Energy-aware Probability-based Clustering algorithm (EPC), featuring high scalability and flexibility particularly suitable for large-scale WSNs. Unlike most existing data gathering schemes that construct static routing structures...
We propose an optimization-based framework to minimize the energy consumption in a sensor network when using an indoor localization system based on the combination of received signal strength (RSS) and pedestrian dead reckoning (PDR). The objective is to find the RSS localization frequency and the number of RSS measurements used at each localization round that jointly minimize the total consumed energy,...
Underwater Wireless Sensor Networks (UWSNs) are expected to support a variety of civilian and military applications. Sensed data can only be interpreted meaningfully when referenced to the location of the sensor, making localization an important problem. In terrestrial WSNs, this can be achieved through a series of message exchanges (via RF communications) between each sensor and Global Positioning...
Knowledge discovery and data analysis in resource constrained wireless sensor networks faces different challenges. One of the main challenges is to identify misbehaviors or anomalies with high accuracy while minimizing energy consumption in the network. In this paper, we extend a previous work of us and we present an algorithm for temporal anomalies detection in wireless sensor networks. Our experiments...
Wireless embedded smart cameras provide flexibility in camera deployment in terms of the locations and number of the cameras. However, these battery-powered embedded vision sensors have very limited energy, memory, and processing power. Energy consumption and latency are two major concerns in wireless embedded camera networks. In multi-camera tracking applications, the amount of data exchanged between...
In the wireless sensor networks (WSNs) context, accurate and efficient ranging is an important factor to consider in order to enhance the demand of future emerging location aware applications. To enhance ranging accuracy, processing a large number of ranging samples to reach a true average range estimate is a common strategy at the cost of extra computation. At the same time, due to the noisy background...
In wireless sensor networks, estimating location of node is important for routing efficiency and location-based services. Traditional Localization techniques are using by distance, hop-count, connectivity, and etc. But the accuracy of these algorithms is highly dependent on the environment and quality of the transmission equipment and they have not only the localization errors but also high energy...
Wireless sensor networks (WSNs) have the security vulnerabilities caused by the limited capacity of sensor nodes. So, there are various defense schemes against attacks on the network layer. For example, there is a scheme for detecting compromised node while sensing data transmission from the source to the base station. The checkpoint based multi-hop acknowledgement scheme (CHEMAS) was proposed to...
In this paper we have introduced a new efficient algorithm “Sub-sector Alignment Polar Coordinate Algorithm” (SAPCA) for the localization of a wireless sensor network. There are several different concepts incorporated in the algorithm to make it efficient such as concept of polar coordinates, sub-sectors, pipelining etc. This algorithm is better than the simple layering and the triangulation algorithms...
The sensor node localization is a key technology to make application feasible and meaningful. This paper presents and analyzes a proposed localization algorithm by employing a mobile anchor node, called mobile maximum rectangle localization scheme. In the proposed scheme, a mobile anchor node moves around in sensor area and broadcasts beacon message. The sensor node uses the geometry technique to...
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