An Efficient Spatial Query Processing Algorithm in Multi-sink Directional Sensor Network

2015 ◽  
pp. 13-23
Author(s):  
Zheng Ma ◽  
Jin Zheng ◽  
Weijia Jia ◽  
Guojun Wang
Keyword(s):  
Query Processing ◽  
Sensor Network ◽  
Processing Algorithm ◽  
Spatial Query ◽  
Spatial Query Processing ◽  
Directional Sensor Network ◽  
Directional Sensor

Spatial query processing in wireless sensor network for disaster management

2009 ◽  
Author(s):  
Rone Ilidio da Silva ◽  
Virgil Del Duca Almeida ◽  
Andre Marques Poersch ◽  
Jose Marcos Silva Nogueira
Keyword(s):  
Wireless Sensor Network ◽  
Query Processing ◽  
Sensor Network ◽  
Disaster Management ◽  
Wireless Sensor ◽  
Spatial Query ◽  
Spatial Query Processing

scholarly journals Critical density for coverage and connectivity in non-orientation directional sensor network

2020 ◽  
Vol 16 (6) ◽  
pp. 155014772092575
Author(s):  
Lin Kang ◽  
Zengshou Dong ◽  
Yanjie Qi
Keyword(s):  
Sensor Network ◽  
Critical Density ◽  
Region Of Interest ◽  
Field Of View ◽  
Wireless Sensor ◽  
Connected Component ◽  
Simulation Results ◽  
Coverage And Connectivity ◽  
Directional Sensor Network ◽  
Directional Sensor

Both coverage and connectivity are important problems in wireless sensor networks. As more and more non-orientation sensors are continuously added into the region of interest, the size of covered component and connected component increases; at some point, the network can achieve an entire coverage and full connectivity after which the network percolates. In this article, we analyze the critical density in non-orientation directional sensor network in which the orientations of the sensors are random and the sensors are deployed according to the Poisson point process. We propose an approach to compute the critical density in such a network. A collaborating path is proposed with the sum of field-of-view angles of two collaborating sensors being π. Then a correlated model of non-orientation directional sensing sectors for percolation is proposed to solve the coverage and connectivity problems together. The numerical simulations confirm that percolation occurs on the estimated critical densities. It is worth mentioning that the theoretical analysis and simulation results give insights into the design of directional sensor network in practice.

Spatial Data on the Move

2011 ◽  
pp. 103-118
Author(s):  
Wee Hyong Tok ◽  
Stéphane Bresan ◽  
Panagiotis Kalnis ◽  
Baihua Zhengl
Keyword(s):  
Query Processing ◽  
Spatial Data ◽  
Location Based Services ◽  
Spatial Query ◽  
Spatial Query Processing ◽  
Wide Availability ◽  
Research Problems ◽  
Processing Techniques ◽  
Exciting Area ◽  
State Of Art

The pervasiveness of mobile computing devices and wide-availability of wireless networking infrastructure have empowered users with applications that provides location-based services as well as the ability to pose queries to remote servers. This necessitates the need for adaptive, robust, and efficient techniques for processing the queries. In this chapter, we identify the issues and challenges of processing spatial data on the move. Next, we present insights on state-of-art spatial query processing techniques used in these dynamic, mobile environments. We conclude with several potential open research problems in this exciting area.

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