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A virtual square partition for connected coverage assurance in wireless sensor networks

Adulyasas, A, Sun, Z and Wang, N (2015) A virtual square partition for connected coverage assurance in wireless sensor networks In: SAS 2015 - 2015 IEEE Sensors Applications Symposium, 13-15 Apr 2015, Zadar, Croatia.

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Abstract

© 2015 IEEE.Wireless sensor networks usually have a massive number of randomly deployed sensor nodes that perform sensing and transmitting data to a base station. This can be a cause of sensor redundancy and data duplication. Sensor scheduling is a solution to reducing the enormous amount of the data load by selecting certain potential sensors to perform the tasks. Meanwhile, the quality of connectivity and coverage is also assured. This paper proposes a sensor scheduling method, called 4-Sqr, which uses a virtual square partition that is composed of consecutive square cells. Based on coordinates upon a monitored area, sensors learn their position on the virtual partition themselves; these are divided into groups of target areas, depending on the sensors' geographical locations. They are then ready for the node selection phase. In order to distribute energy consumption equally, the sensors with the highest residual energy within the same group usually have more chance of being active than the others. Compared to other existing methods, the proposed method is outstanding in many aspects such as the quality of connected coverage, the chance of being selected and the network's lifetime.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Adulyasas, AUNSPECIFIEDUNSPECIFIED
Sun, Zz.sun@surrey.ac.ukUNSPECIFIED
Wang, Nn.wang@surrey.ac.ukUNSPECIFIED
Date : 1 January 2015
Identification Number : 10.1109/SAS.2015.7133620
Uncontrolled Keywords : Wireless sensor network; Connectivity; Coverage; Virtual square partition; Sensor scheduling
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:41
Last Modified : 25 Sep 2017 07:58
URI: http://epubs.surrey.ac.uk/id/eprint/840102

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