On centralized and localized approximation algorithms for interference aware broadcast scheduling
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This document discusses approximation algorithms for interference-aware broadcast scheduling in wireless sensor networks. It proposes both centralized and localized approximation algorithms for broadcast scheduling in 2D and 3D sensor networks. The algorithms account for sensors having different transmission ranges and interference ranges that are larger than transmission ranges. The centralized algorithms run in O(1) time while the localized algorithms allow for distributed implementation in 2D and 3D networks. Analysis and experiments evaluate the performance of the proposed algorithms.
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flexible and intuitive coordinate system is imposed onto the deployment area and the anonymous nodes are
partitioned into clusters where data can be gathered from the environment and synthesized under local
control. The architecture solves the hidden sensors problem that occurs because of irregularities in rugged
deployment areas or environments containing buildings by training the network of nodes arbitrarily
dispersed in the 3D space. In addition, we derive two simple and energy-efficient routing protocols,
respectively for dense and sparse networks, based on the proposed dynamic coordinate system. They are
used to minimize the power expended in collecting and routing data to the sink node, thus increasing the
lifetime of the network.
VIRTUAL ARCHITECTURE AND ENERGYEFFICIENT ROUTING PROTOCOLS FOR 3D WIRELESS SE...
This paper proposes a virtual architecture for three-dimensional (3D) wireless sensor networks (WSNs), a
dynamic coordinate system, and a scalable energy-efficient training protocol for collections of nodes
deployed in the space that are initially anonymous, asynchronous, and unaware of their initial location.
The 3D WSNs considered comprise massively deployed tiny energy-constrained commodity sensors and
one or more sink nodes that provide an interface to the outside world. The proposed architecture is a
generalization of a two-dimensional virtual architecture previously proposed in the literature, in which a
flexible and intuitive coordinate system is imposed onto the deployment area and the anonymous nodes are
partitioned into clusters where data can be gathered from the environment and synthesized under local
control. The architecture solves the hidden sensors problem that occurs because of irregularities in rugged
deployment areas or environments containing buildings by training the network of nodes arbitrarily
dispersed in the 3D space. In addition, we derive two simple and energy-efficient routing protocols,
respectively for dense and sparse networks, based on the proposed dynamic coordinate system. They are
used to minimize the power expended in collecting and routing data to the sink node, thus increasing the
lifetime of the network.
VIRTUAL ARCHITECTURE AND ENERGYEFFICIENT ROUTING PROTOCOLS FOR 3D WIRELESS SE...
This paper proposes a virtual architecture for three-dimensional (3D) wireless sensor networks (WSNs), a dynamic coordinate system, and a scalable energy-efficient training protocol for collections of nodes deployed in the space that are initially anonymous, asynchronous, and unaware of their initial location. The 3D WSNs considered comprise massively deployed tiny energy-constrained commodity sensors and one or more sink nodes that provide an interface to the outside world. The proposed architecture is a generalization of a two-dimensional virtual architecture previously proposed in the literature, in which a flexible and intuitive coordinate system is imposed onto the deployment area and the anonymous nodes are partitioned into clusters where data can be gathered from the environment and synthesized under local control. The architecture solves the hidden sensors problem that occurs because of irregularities in rugged deployment areas or environments containing buildings by training the network of nodes arbitrarily dispersed in the 3D space. In addition, we derive two simple and energy-efficient routing protocols, respectively for dense and sparse networks, based on the proposed dynamic coordinate system. They are used to minimize the power expended in collecting and routing data to the sink node, thus increasing the lifetime of the network.
Wideband Sensing for Cognitive Radio Systems in Heterogeneous Next Generation...
Mobile Next Generation Network (MNGN) is characterized as heterogeneous network where variety of access technologies are meant to coexist. Decisions on choosing an air interface that meets a particular need at a particular time will be shifted from the network’s side to (a more intelligent) user’s side. On top of that network operators and regularities have come to the realization that assigned spectrum bands are not utilized as they should be. Cognitive radio stands out as a candidate technology to address many emerging issues in MNGN such as capacity, quality of service and spectral efficiency. As a transmission strategy, cognitive radio systems depend greatly on sensing the radio environment. In this paper, we present a novel approach for interference characterization in cognitive radio networks based on wideband chirp signal. The results presented show that improved sensing accuracy is maintained at tolerable system complexity.
Accurate and Energy-Efficient Range-Free Localization for Mobile Sensor Networks
The document summarizes an algorithm called WMCL that improves the sampling efficiency and localization accuracy of existing SMC-based localization algorithms for mobile sensor networks. WMCL achieves higher sampling efficiency by further reducing the size of sensor nodes' bounding boxes, which restrict the scope from which candidate samples are selected, by up to 87%. This improves the sampling efficiency by up to 95%. WMCL also improves localization accuracy by using estimated position information from sensor neighbors, achieving similar accuracy with less communication and computation compared to other algorithms using similar methods.
Dotnet localization-based radio model calibration for fault-tolerant wireles...
This document provides information about Ecway Technologies, an organization that offers IEEE projects and software developments in various cities in India. It then summarizes a research paper on localization-based radio model calibration for fault-tolerant wireless mesh networks. The paper proposes using mobile station localization data and radio signal strength measurements to calibrate radio propagation models and account for environmental changes that could impact network connectivity. An evaluation found the approach worked well in a real industrial scenario.
Dotnet localization-based radio model calibration for fault-tolerant wireles...
This document provides information about Ecway Technologies, an organization that offers IEEE projects and software developments in various cities in India. It then summarizes a research paper on localization-based radio model calibration for fault-tolerant wireless mesh networks. The paper proposes using mobile station localization data and radio signal strength measurements to calibrate radio propagation models and account for environmental changes that could impact network connectivity. An evaluation found the approach worked well in a real industrial scenario.
Localization based radio model calibration for fault-tolerant wireless mesh n...
This document provides information about Ecway Technologies, an organization that offers IEEE projects and software developments in various cities in India. It then summarizes a research paper on localization-based radio model calibration for fault-tolerant wireless mesh networks. The paper proposes using mobile station localization data and radio signal strength measurements to calibrate radio propagation models and account for environmental changes that could impact network connectivity. An evaluation found the approach worked well in a real industrial scenario.
Node Deployment in Homogeneous and Heterogeneous Wireless Sensor Network
Optimal sensor deployment is necessary condition in homogeneous and heterogeneous wireless sensor
network. Effective deployment of sensor nodes is a major point of concern as performance and lifetime of any
WSN. Proposed sensor deployment in WSN explore every sensor node sends its data to the nearest sink node
of the WSN. In addition to that system proposes a hexagonal cell based sensor deployment which leads to
optimal sensor deployment for both homogeneous and heterogeneous sensor deployment. Wireless sensor
networks are receiving significant concentration due to their potential applications ranging from surveillance
to tracking domains. In limited communication range, a WSN is divided into several disconnected sub-graphs
under certain conditions. We deploy sensor nodes at random locations so that it improves performance of the
network.This paper aims to study, discuss and analyze various node deployment strategies and coverage
problems for Homogeneous and Heterogeneous WSN.
DATA TRANSMISSION IN WIRELESS SENSOR NETWORKS FOR EFFECTIVE AND SECURE COMMUN...
Data transmission occurs from transmitting node to sink node, which communicate each other via large number of intermediate nodes or directly to an external base station. A network consists of numbers of nodes with one as a source and one or more as a destination node.
Secure data dissemination protocol in wireless sensor networks using xor netw...
Secure data dissemination protocol in wireless sensor networks using xor netw...eSAT Publishing House
1. The document discusses a secure data dissemination protocol for wireless sensor networks using XOR network coding. It aims to achieve fast, secure, reliable and energy efficient data dissemination.
2. Wireless sensor networks require regular software updates through the wireless medium, which is known as data dissemination or network reprogramming. Existing dissemination protocols have security issues when combined with network coding techniques.
3. The proposed protocol uses simple cryptographic techniques with network coding to prevent pollution and denial of service attacks, while still achieving fast dissemination. It focuses on disseminating small data values securely and efficiently in wireless sensor networks.Dotnet channel assignment for throughput optimization in multichannel multir...
ECWAY Technologies provides IEEE projects and software developments with offices in multiple cities in Tamil Nadu, India. They can be contacted via phone or email.
The document discusses a channel assignment algorithm for throughput optimization in ultichannel multiradio wireless mesh networks using network coding. It formulates the joint problem of random network coding, channel assignment, and broadcast link scheduling while taking into account opportunistic overhearing, interference constraints, coding constraints, number of channels, radios per node, and fairness among unicast connections. An auction-based suboptimal solution is developed for overall network throughput optimization. Performance evaluation results show the algorithm can effectively exploit multiple radios and channels and address fairness issues.
Dotnet channel assignment for throughput optimization in multichannel multir...
ECWAY Technologies provides IEEE projects and software developments with offices in multiple cities in Tamil Nadu, India. They can be contacted via phone or email.
The document discusses a channel assignment algorithm for throughput optimization in multi-radio wireless mesh networks using network coding. It formulates the joint problem of random network coding, channel assignment, and broadcast link scheduling while taking into account opportunistic overhearing, interference constraints, coding constraints, number of channels, radios per node, and fairness between unicast connections. An auction-based suboptimal solution is developed for overall network throughput optimization. Evaluation shows the algorithm can effectively use multiple radios and channels while addressing fairness issues from auctions, with promising gains over traditional routing solutions
Channel assignment for throughput optimization in multichannel multiradio wir...
ECWAY Technologies provides IEEE projects and software developments with offices in multiple cities in Tamil Nadu, India. They can be contacted via phone or email.
The document discusses a channel assignment algorithm for throughput optimization in multi-radio wireless mesh networks using network coding. It formulates the joint problem of random network coding, channel assignment, and broadcast link scheduling while taking into account opportunistic overhearing, interference constraints, coding constraints, number of channels, radios per node, and fairness between unicast connections. An auction-based suboptimal solution is developed for overall network throughput optimization. Performance evaluation shows the algorithm can effectively use multiple radios and channels while addressing fairness issues from the auction, with promising gains over traditional routing
Channel assignment for throughput optimization in multichannel multiradio wir...
ECWAY Technologies provides IEEE projects and software developments with offices in multiple cities in Tamil Nadu, India. They can be contacted via phone or email.
The document discusses using network coding for throughput optimization in multi-radio wireless mesh networks. It formulates the joint problem of network coding, channel assignment, and broadcast link scheduling while taking into account opportunistic overhearing, interference constraints, coding constraints, number of channels, radios per node, and fairness among unicast connections. An auction-based algorithm is developed as a suboptimal solution to optimize overall network throughput. Performance evaluations show the algorithm can effectively use multiple radios and channels while addressing fairness issues from the auction approach, and it provides gains over traditional routing
Channel assignment for throughput optimization in multichannel multiradio wir...
ECWAY Technologies provides IEEE projects and software developments with offices in multiple cities in Tamil Nadu, India. They can be contacted via phone or email.
The document discusses a channel assignment algorithm for throughput optimization in ultichannel multiradio wireless mesh networks using network coding. It formulates the joint problem of random network coding, channel assignment, and broadcast link scheduling while taking into account opportunistic overhearing, interference constraints, coding constraints, number of channels, radios per node, and fairness among unicast connections. An auction-based suboptimal solution is developed for overall network throughput optimization. Performance evaluation results show the algorithm can effectively exploit multiple radios and channels and address fairness issues.
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On centralized and localized approximation algorithms for interference aware broadcast scheduling
- 1. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111 VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com ON CENTRALIZED AND LOCALIZED APPROXIMATION ALGORITHMS FOR INTERFERENCE-AWARE BROADCAST SCHEDULING ABSTRACT: Broadcast scheduling in multihop Wireless Sensor Networks (WSNs) is an effective mechanism to perform interference-aware broadcasting. Existing works provide centralized solutions, which cannot be implemented locally. Additionally, they consider very elementary network and interference models, in which, either all sensor nodes have the same transmission range or their transmission ranges are equal to their interference ranges that are not very practical. Furthermore, they entirely ignore the existence of WSNs in 3D. In this paper, we study the broadcast scheduling in 2D and 3D WSNs. We consider that sensor nodes may have different transmission ranges and their interference ranges are α times of their transmission ranges (where α >; 1). We devise efficient coloring methods for coloring a hexagonal tiling in 2D plane and a truncated octahedron tiling in 3D space, based on which we propose O(1)-centralized approximation algorithms and O(1)-localized approximation algorithms for the broadcast scheduling problem in 2D and 3D WSNs, respectively. Our O (1)-centralized approximation algorithms for 3D WSNs and O (1)-localized approximation algorithms for 2D and 3D WSNs are the first approximation algorithms for the corresponding problems. Finally, we present an efficient greedy heuristic to study the effect of various priority metrics for greedily scheduling multiple interfering transmissions. Theoretical analysis and experimental results are provided to evaluate the performance of our algorithms.