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Meguerdichian, Seapahn; Koushanfar, Farinaz; Mogre, A.; Petranović, Davor; Potkonjak, Miodrag

doi:10.1145/378239.379028

Cited by 5 publications

(2 citation statements)

References 45 publications

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“…Any of the selected point in the range should be within at least one sensor's sensing range. Many algorithms [8], [9], [10], [11] developed to get 100 percent sensing coverage in two dimensional network. Network's lifetime is another important issue, to increase the lifetime energy harvesting can be used for sensor networks.…”

Section: Introduction To Wireless Networkmentioning

confidence: 99%

Cone Tessellation Model for Three-Dimensional Networks

Sarışın

Salamah

2011

Communications in Computer and Information Science

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Wireless terrestrial networks are usually designed in two dimensional plane, but in real life they form three dimensional space. For navy, air force and under water applications, full connectivity and coverage are necessary to achieve good surveillance. Coverage and connectivity issues become more important to achieve full connectivity with less number of nodes. In three dimensional networks, node placement strategy is one of the most important design problems.In this thesis, main aim is to deploy the minimum number of nodes in an effective way to get communication among nodes over a multi-hop path. Sensing range and transmission range values are main factors for our calculations. The volumetric quotient, which is the ratio of the transmission range (represented as the volume of the shape) to the sensing range (represented as the volume of the shape's circumsphere) of each node, is used as the main measure of the placement strategy.Researchers use polyhedrons to model three dimensional networks. As the volumetric quotient increases, we need less number of nodes for full coverage.The contribution of this research is finding a cone model which gives a higher volumetric quotient than polyhedrons. The inspiration comes from satellite footprint.The cone model was tessellated using 3Ds Max which is a modelling, animation and rendering software. Cones are deployed in special manner that has no empty space between nodes. So we can achieve full connectivity with cone model. We compared our results with previous researches and we achieve better results in terms of volumetric quotient and number of nodes needed compared to other models. Our result achieved the minimum of transmission ranges for both axes. Best results found in terms of maximum of minimum transmission ranges for u and v axes. This research shows us we can achieve full coverage with using a shape rather than polyhedrons. I am very grateful to Mustafa Erbilen. We discussed mathematical calculations in a long period of time, and I gained lots of information from his ideas.

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Section: Introduction To Wireless Networkmentioning

confidence: 99%

Cone Tessellation Model for Three-Dimensional Networks

Sarışın

Salamah

2011

Communications in Computer and Information Science

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“…Coverage of the sensor network represents the quality of service (QoS) that it can provide [1]. In [2], coverage of sensor networks is divided into area coverage, node coverage and detectability.…”

Section: Introductionmentioning

confidence: 99%

Coverage and Energy Efficient Information Gathering Protocol in Wireless Sensor Networks

Xiang-wen¹,

Hou²,

Yang³

et al. 2005

Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)

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Coverage and energy efficiency are two important concerns in wireless sensor networks. In this paper, a coverage and energy efficient (CEE) task assigning strategy is presented. The basic idea of CEE is to assign tasks according to node's coverage degree and remaining energy. Based on this idea, grid-based coverage and energy efficient (GCEE) information gathering protocol is designed. GCEE is simulated with NS-2. How the various parameters affect the fraction of the survived nodes and the area energy balancing of the network is shown in simulation results.

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A comparative study of modelling at different levels of abstraction in system on chip designs: a case study

Jayadevappa

Shankar

Mahgoub

IEEE Computer Society Annual Symposium on VLSI

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Cited by 5 publications

References 45 publications

Cone Tessellation Model for Three-Dimensional Networks

Cone Tessellation Model for Three-Dimensional Networks

Coverage and Energy Efficient Information Gathering Protocol in Wireless Sensor Networks

A comparative study of modelling at different levels of abstraction in system on chip designs: a case study

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