MMEDD: Multithreading Model for An Efficient Data Delivery in Wireless Sensor Networks.

Blaise Omer Yenke; Damien Wohwe Sambo; Ado Adamou Abba Ari; Abdelhak Gueroui

Author(s)

Blaise Omer Yenke LASE Laboratory, University of Ngaoundere, Cameroon

Damien Wohwe Sambo LASE Laboratory, University of Ngaoundere, Cameroon

Ado Adamou Abba Ari Mathematics and Computer Science Department, FS, University of Maroua, Cameroon

Abdelhak Gueroui Mathematics and Computer Science Department, FS, University of Maroua, Cameroon; LI-PaRAD Laboratory, Université Paris Saclay, University of Versailles Saint-Quentin-en-Yvelines

Abstract

Nowadays, the use of Wireless Sensor Networks (WSNs) is increasingly growing as they allow a large number of applications. In a large-scale sensor network, data transmission among sensors is achieved by using a multihop communication model. However, since its resources limit the sensor, sensors' Operating Systems (OSs) are developed in order to optimize the management of these means, especially the power consumption. Therefore, the hybrid operating system Contiki uses a low consumption layer called Rime, which allows sensors to perform multihop sending with a low energy cost. This is favored by the implementation of lightweight processes called protothreads. These processes have a good efficiency/consumption ratio for monolithic tasks, but the management of several tasks remains a problem. In order to enable multitasking, Contiki provides to users a preemptive multithreading module that allows the management of multiple threads. However, it usually causes greater energy wastage. To improve multithreading in sensor networks, a Multithreading Model for an Efficient Data Delivery (MMEDD) using protothreads is proposed in this paper. Intensive experiments have been conducted on COOJA simulator that is integrated in Contiki. The results show that MMEDD provides better ratio message reception rate/energy consumption than other architectures.

Publication Details

Page(s) 179-186

DOI DOI not available

Published Journal: International Journal of Communication Networks and Information Security, Volume: 8, Issue: 3, Year: 2016

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