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Diversified applications of wireless sensor networks demand reliable data transmission, which generally experiences limited performance owing to the inherent resource constraints of sensor nodes. Estimated round trip time is one of the prominent aspects of reliable transmissions that possesses a potential to enhance the performance sustaining the resource constraints. Therefore, we have already proposed...
There are many technical challenges to realize the myriad of applications envisaged for underwater acoustic sensor networks (UASNs), in particular, determining the location of each node or localization. While various schemes have been proposed recently, the impact of MAC protocols for localization has not been studied. A MAC protocol that can enable many sensor nodes in large-scale networks to share...
This In the Parallel itinerary based KNN query processing we have routing phase, KNN boundary estimation and spatial irregularity which uses the routing protocol called Greedy Perimeter Stateless Routing (GPSR). This GPSR offers routing support for Wireless Sensor Network (WSN). However GPSR was designed for the symmetric links (bidirectional reachable), but sensor networks are often asymmetric in...
Deploying the sensor nodes at the best locations for random field reconstruction via sensor network is a fundamental task. One-dimensional random field is a stochastic process. In this paper, we first propose an optimal sensor deployment strategy for Wiener process estimation. The optimal locations for the deployed sensors are uniformly distributed in the field. In addition, we propose a suboptimal...
Some sensor network applications involve an aerial deployment of many sensor nodes over a particular area of interest. In this context, current range-free localization proposals, based on an iterative refinement and exchange of node estimations, are not directly applicable, because they introduce a high traffic overhead. In this paper, we propose to control this overhead by means of avoiding the transmission...
This paper presents an efficient technique for power allocation to the sensor nodes in a nonlinear sensor network (NSN). We minimize mean square error of the estimation of a random scalar parameter subject to a constraint on total amount of power consumed by the sensor nodes. This estimation is carried out at fusion center (FC) which receives the local observations from the sensors located at different...
In this paper, we study the problem of random field estimation with wireless sensor networks. We adopt a Quantize-and-Estimate encoding scheme and focus our attention on two scenarios of interest: delay-constrained networks, in which the observations collected in a particular timeslot must be immediately encoded and conveyed to the Fusion Center (FC); and delay-tolerant (DT) networks, where the time...
Localization services are one of the most important services provided by wireless sensor networks. In this paper, a relative-localization identification of random deployed non-anchored nodes will be presented. Based on relative RSSI information, the system can identify which sensor nodes are placed in locations planned on map. The method can let user put any nodes anywhere (random distributed), and...
The location estimation of sensor nodes is a fundamental and essential issue for wireless sensor networks (WSNs), because the gathered data is meaningful only when the location information of the sensor nodes is known. In this paper, we proposed a novel localization algorithm. In the proposed scheme, we first estimate the location of sensor nodes using Convex Position Estimation (CPE), and then refine...
In many hybrid wireless sensor networks' applications, sensor nodes are deployed in hostile environments where trusted and un-trusted nodes co-exist. In anchor-based hybrid networks, it becomes important to allow trusted nodes to gain full access to the location information transmitted in beacon frames while, at the same time, prevent un-trusted nodes from using this information. The main challenge...
For Wireless Sensor Networks (WSNs), utilizing the same set of measurement data for simultaneous localization and time synchronization is potentially useful for achieving higher estimation accuracy, lower communication overhead and power consumption. However, localization and time synchronization are traditionally treated as two separate problems. In this paper, we propose to use Semidefinite Programming...
Wireless sensor networks are being considered for use in industrial process and control environments. Unlike traditional deployment scenarios for sensor networks, in which energy preservation is the main design principle, industrial environments stress worker safety and uninterrupted production. To fulfill these requirements, sensor networks must be able to provide performance guarantees for radio...
Based on the requirements of low energy consumption and high bandwidth efficiency, a primary area of study is how to improve the estimation accuracy and tracking performance for target localization in wireless sensor networks. In this paper, we propose a weighted sign algorithm (WSA) for positioning and tracking in wireless sensor networks. In terms of the reliability of distance estimation, the location...
In many applications of Wireless Sensor Networks (WSN), it is crucial to know the location of sensor nodes. Although several methods have been proposed, most of them have poor performance in irregularly shaped networks. MDS-MAP is one of the localization methods based on multidimensional scaling (MDS) technique. It uses the connectivity information to derive the location of the nodes in the network...
Monitoring of industrial and community environments and infrastructures are increasing targets for wireless sensor network (WSN) applications. Such applications are distributed by their nature and require essentially timing synchronization and location awareness of the sensor nodes. In this paper we present a WSN platform suitable for environment and condition monitoring applications. Time synchronization...
We propose a method to track an unknown and variable number of targets without assuming the knowledge of the locations of the sensor nodes in the network. Then, the multitarget tracking and the localization of sensor nodes is performed jointly. As low-power consumption is a requirement in sensor networks, a collaborative estimation scheme is presented, where only a small set of sensors are active...
In this paper, we propose a new centralized routing protocol named WRP that aims at maximizing the network lifetime. In WRP, the sink node is assumed to be with more capabilities and basically collects each node's estimated wakeup time. This enables the sink node to estimate the wakeup times of all sensor nodes even if some of them are multi-hops away from the sink node. The estimated information...
In recent years, there has been an increasing interest in sensor networks, in which sensor nodes such as temperature or humidity sensors communicate with each other for environmental monitoring and so on. In sensor networks, it is important to reduce the energy consumption, since sensor nodes have limits in battery. Most researches achieve this by reducing sensor amount of transmitted data. However,...
We consider the problem of decentralized estimation of a random-field under communication constraints in a Bayesian setting. The underlying system is composed of sensor nodes which collect measurements due to random variables they are associated with and which can communicate through finite-rate channels in accordance with a directed acyclic topology. After receiving the incoming messages if any,...
Recently, Ultra Wideband (UWB) Time Of Arrival (ToA)-based localization in Wireless Sensor Networks (WSNs) have received considerable attention. For a typical WSN operating in indoor environments, the localization performance can be degraded considerably due to the existence of non-line-of-sight (NLOS) channel conditions between the sensor nodes. In these channel conditions the ranging accuracy is...
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