Results 1 - 10
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52
Weighted centroid localization in Zigbee-based sensor networks.
- In Intelligent Signal Processing,
, 2007
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Position Estimation in ad-hoc Wireless Sensor Networks with Low Complexity
- in Joint 2nd Workshop on Positioning, Navigation and Communication 2005 (WPNC 05) & 1st Ultra-Wideband Expert Talk 2005 (05
, 2005
"... Abstract−−− − In sensor networks, randomly distributed sensor nodes have to determine its own positions to assign measurements to locations. Due to limited resources of the nodes, resourceaware positioning algorithms are required. In this paper, we present a solution to minimize the positioning erro ..."
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Cited by 11 (6 self)
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Abstract−−− − In sensor networks, randomly distributed sensor nodes have to determine its own positions to assign measurements to locations. Due to limited resources of the nodes, resourceaware positioning algorithms are required. In this paper, we present a solution to minimize the positioning error of the “Weighted Centroid Localization ”- algorithm (WCL) using hop count determination. Compared to other approximative algorithms, WCL achieves a remarkable average positioning error below 8%. Further, we introduce abstract distances to support different types of distance information, e.g. hop count determination or distance measurements. Finally, we present an analytical equation to compute a qualified transmission range in scenarios with hop count determination. 1
A survey on dependable routing in sensor networks, Ad hoc networks, and cellular networks 2004
"... The class of wireless and mobile networks features a dissimilar set of characteristics and constraints compared to traditional fixed networks. The various dimensions of these characteristics/constraints strongly influence the routing system, which is often regarded as the glue of a network. We intro ..."
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Cited by 10 (1 self)
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The class of wireless and mobile networks features a dissimilar set of characteristics and constraints compared to traditional fixed networks. The various dimensions of these characteristics/constraints strongly influence the routing system, which is often regarded as the glue of a network. We introduce the concept of routing dependability describing the trustworthiness of a routing system such that reliance can justifiably be placed on the consistency of behavior and performance of the routing service delivered. We investigate this concept by analyzing the basic characteristics of various networks. Subsequently, we derive the most important attributes and impairments that contribute to routing dependability in sensor networks, ad hoc networks, and infrastructure-based cellular networks. Departing from state-of-the-art network designs, we extend our survey to cover future network architectures as well. We finish by briefly investigating possible directions and means that allow mitigating the deprivation of dependability. 1.
Minimal Transmission Power vs. Signal Strength as Distance Estimation for Localization in Wireless Sensor Networks
"... Abstract—Autonomous localization of nodes in wireless sensor networks is essential to minimize the complex selforganization task consequently and to enhance network lifetime. Known techniques such as distance estimation based on received signal strength are mostly inaccurate and strong constrained. ..."
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Cited by 7 (2 self)
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Abstract—Autonomous localization of nodes in wireless sensor networks is essential to minimize the complex selforganization task consequently and to enhance network lifetime. Known techniques such as distance estimation based on received signal strength are mostly inaccurate and strong constrained. We propose a new method to measure a distance using the minimal transmission power between a transmitting node and a receiving node. The determined distance is very precise and has a low variance. It is therefore suitable for localization which is exemplary demonstrated for the approximate “Weighted Centroid Localization” algorithm.
A Survey On Sensor Network
- ISSN
"... Abstract: Sensor networks are recently rapidly growing research area in wireless communications and distributed network. Sensor network is a densely deployed wireless network of small, low-cost sensors, which can be used in various applications like—health, environmental monitoring, military, home, ..."
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Cited by 7 (0 self)
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Abstract: Sensor networks are recently rapidly growing research area in wireless communications and distributed network. Sensor network is a densely deployed wireless network of small, low-cost sensors, which can be used in various applications like—health, environmental monitoring, military, home, gathering and sensing information in inhospitable locations etc. Wireless sensor networks monitor and control physical environments from remote locations. Sensor nodes suffer various energy and computational constraints for their low cost feature and ad hoc deployment method. Different application areas of sensor networks consist different technical issues and researchers are currently shedding their lights to resolving these issues. The prominent deficiencies are: energy efficient routing, protocols, localization algorithms and system design. This survey paper will cover up all these open research issues as well as their solutions and will point out and depicts all important fields of sensor networks.
Power Management in Mobile and Pervasive Computing Systems
- Algorithms and Protocols for Wireless and Mobile Networks, Azzedine Boukerche (Editor
, 2005
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On Wireless Sensor Networks: Architectures, Protocols, Applications, and Management
, 2005
"... With the recent technological advances in wireless commu-nications, integrated digital circuits, and micro electro me-chanical systems (MEMS); development of wireless sensor networks has been enabled and become dramatically feasible. Wireless sensor networks (WSNs) are large networks made of a numer ..."
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Cited by 5 (0 self)
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With the recent technological advances in wireless commu-nications, integrated digital circuits, and micro electro me-chanical systems (MEMS); development of wireless sensor networks has been enabled and become dramatically feasible. Wireless sensor networks (WSNs) are large networks made of a numerous number of sensor nodes with sensing, com-putation, and wireless communications capabilities. Many various routing, power management, and data dissemina-tion protocols have been designed for wireless sensor net-works (WSNs) dependent on both the network architecture and the applications that it is designed for. In this paper, we present the state of the art of wireless sensor networks’ architecture and design features. Also, in this paper, we in-troduce recent work on routing protocols for WSNs and their design goals and challenges. Also, an overview of the appli-cation that WSNs assist in is presented. Finally, several open research questions of wireless sensor networks man-agement and issues are suggested and put forward. 1
Distributed Grid based Robust Clustering Protocol for Mobile Sensor Networks
, 2009
"... Abstract: This paper presents a distributed grid based robust clustering protocol for mobile wireless sensor networks. An overwhelming majority of current research on sensor network routing protocols considers static networks only, while we consider mobile environment. grid based robust clustering i ..."
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Cited by 3 (0 self)
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Abstract: This paper presents a distributed grid based robust clustering protocol for mobile wireless sensor networks. An overwhelming majority of current research on sensor network routing protocols considers static networks only, while we consider mobile environment. grid based robust clustering is a distributed location based, energy aware clustering protocol designed for mobile sensor networks. grid based robust clustering utilizes node's location information during cluster head selection and introduces a new parameter called center-ness. It also has a recovery mechanism to decrease packet loss during inter-cluster communication. Simulation results show that grid based robust clustering incurs less packet loss, results in high packet delivery ratio, and exhibits robustness against moderate to high mobility of nodes.
Low-cost optical indoor localization system for mobile objects without image processing
- in Proc. of the IEEE Int. Conf. on Emerging Techonologies and Factory Automation (ETFA
"... While being very successful in everyday life, GPSbased localization systems exhibit limited performance under trees, behind walls, and in closed rooms, and sometimes induce costs that are way too high to be acceptable for some applications. This paper addresses these problems by exploring an alterna ..."
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Cited by 3 (0 self)
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While being very successful in everyday life, GPSbased localization systems exhibit limited performance under trees, behind walls, and in closed rooms, and sometimes induce costs that are way too high to be acceptable for some applications. This paper addresses these problems by exploring an alternative localization system, which is based on image processing and does most of the processing in analog. Because of its low-cost and lowenergy properties, this system might also be interesting for other application areas, such as sensor networks. 1.
Distributed Efficient Multi Hop Clustering Protocol for Mobile Sensor Networks
, 2009
"... Abstract: This paper presents a Distributed Efficient Multi hop Clustering (DEMC) protocol for mobile wireless sensor networks. An overwhelming majority of current research on sensor networks considers static networks only, while we consider mobile environment. DEMC is distributed, works well with m ..."
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Cited by 3 (1 self)
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Abstract: This paper presents a Distributed Efficient Multi hop Clustering (DEMC) protocol for mobile wireless sensor networks. An overwhelming majority of current research on sensor networks considers static networks only, while we consider mobile environment. DEMC is distributed, works well with mobile nodes, and has a recovery mechanism that is used to reduce the packet loss during inter cluster communication. The recovery mechanism also improves the connectivity between cluster heads during inter cluster communication. On average, each node sends less than one message during clustering, and does not rely on periodic hello messages. As a result reducing number of transmissions leads to energy efficiency. Simulation results show that DEMC is energy efficient, incurs less packet loss, increases packet delivery ratio, and exhibits robustness against moderate to high mobility of nodes.
