Latency and Energy Efficient Routing-Aware TDMA for Wireless Sensor Networks

İslam Amine BOUCHEDJERA; Lemia LOUAİL

Article Details

Latency and Energy Efficient Routing-Aware TDMA for Wireless Sensor Networks

Authors:

İslam Amine BOUCHEDJERA | Lemia LOUAİL

Publisher:

International Society of Academicians

Main Topics:

Data processing and computer science

Journal:

International Journal of Informatics and Applied Mathematics 2020 Vol.3 Issue 1, pp.22-38

Document Type:

Article

Publication Date:

5/2020

Document Language:

English

Document ID (Org No.):

2000719256

Frequency:

Bi-Annual

eISSN:

2667-6990

Abstract:

 

Simply because the OSI model has been effective for wired networks, the communications within the wireless sensor networks (WSN) since its appearance are ensured by a layer model, inspired by the OSI model. Since, protocols are designed independently in this model, metrics involved in several layers can be affected. Energy consumption and fast data aggregation are among the most important metrics, impacted by both the routing protocol in the network layer and the MAC protocol in the data link layer. Cross-layer, an emerging design that attempts to expand the interactions in the protocol stack has shown an improvement in the overall performance of such networks. In this context, in order to achieve energy efficiency and fast data aggregation, and since the protocols of the MAC sub-layer and the network layer have a direct effect on these two metrics, we propose Efficient-Depth-ReLO, a centralized cross-layer approach between these two layers. This approach aims to build a TDMA scheduling by using the routing tree information. On the other hand, the proposed approach solves efficiently the hidden node problem. The results of extensive simulations show that the proposed approach performs better than similar existing works in terms of energy consumption and communication latency.

Article Details

Latency and Energy Efficient Routing-Aware TDMA for Wireless Sensor Networks

Authors: İslam Amine BOUCHEDJERA | Lemia LOUAİL

Publisher: International Society of Academicians

Main Topics: Data processing and computer science

Journal: International Journal of Informatics and Applied Mathematics 2020 Vol.3 Issue 1, pp.22-38

Document Type: Article

Publication Date: 5/2020

Document Language: English

Document ID (Org No.): 2000719256

Frequency: Bi-Annual

eISSN: 2667-6990

Issues

Authors:

İslam Amine BOUCHEDJERA | Lemia LOUAİL

Publisher:

International Society of Academicians

Main Topics:

Data processing and computer science

Journal:

International Journal of Informatics and Applied Mathematics 2020 Vol.3 Issue 1, pp.22-38

Document Type:

Article

Publication Date:

5/2020

Document Language:

English

Document ID (Org No.):

2000719256

Frequency:

Bi-Annual

eISSN:

2667-6990