A new medium access control mechanism for energy optimization in WSN: traffic control and data priority scheme

Bouazzi, Imen; Zaidi, Monji; Usman, Mohammed; Shamim, Mohammed Zubair M.

doi:10.1186/s13638-021-01924-4

Cited by 15 publications

(7 citation statements)

References 33 publications

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“…The Figure 2 shows the connection between nodes in WSN. A wireless sensor network (WSN) can be use used in many applications such industrial applications [3], health care analysis [4], [5], traffic control [6], agriculture monitoring [7], and home automation [8], [9]. This network is characterized by some limitations: higher bandwidth demand, the limited resources and the application specification.…”

Section: Figure 1 Basic Elements Of a Sensormentioning

confidence: 99%

Comparing Leach protocol and its descendants on transferring scalar data

Bennani,

Zbakh,

El Far

et al. 2024

IJEECS

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In the last years, The CMOS was developed and miniaturized rapidly, which, made sensors very fast, small and accurate. Hence, the creation of wireless sensor network (WSN) which are a network of nodes that exchange the data between them until it reaches the sink (base station). It is responsible for treating the data and transfer them to other servers linked to the internet for further treatment or storage. Therefore, everything related to WSN is a big topic of research for scientific community, especially transferring scalar data. In fact, many factors enter into account when it comes to send data like a radio, range of transmission, energy consumption and routing protocol. Routing protocols are very important in transferring data. They also have a big impact on energy consumption by nodes. Many categories of routing protocols exist: planning and level routing. Each type has its strength and weakness points. So, using a routing protocol in high-density environments is very challenging in energy consumption and data delivery. In addition, since level routing protocols like Leach are known for their energy efficiency. We choose three level routing protocol (Leach, MLD-Leach and MRE-Leach) to put them in a harsh environment to test their energy consumption and data transferring. We found that MLD-Leach has better energy consumption and data delivery.

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Section: Figure 1 Basic Elements Of a Sensormentioning

confidence: 99%

Comparing Leach protocol and its descendants on transferring scalar data

Bennani,

Zbakh,

El Far

et al. 2024

IJEECS

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“…An adaptive access control is developed for more efficient traffic management and lower power usage [12]. To determine which nodes should be allowed access to the wireless channel first, second, or third, a fuzzy technique is utilised.…”

Section: Related Workmentioning

confidence: 99%

Smart Bandwidth Prediction, Power Management and Adaptive Network Coding for WSN

2023

IJIES

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WSN has been widely used in many sensitive applications and it also has novel possibilities for laying the groundwork for using ubiquitous and pervasive computing, but it has also presented a number of issues and challenges, such as a dynamic network topology and a congestion problem that hinders not only network bandwidth utilisation but also performance. Proficient rate control and fair bandwidth allocation (PRC-FBA) was one of the schemes in the literature to solve issues of WSN by combining the ideas of traffic class priority and bandwidth fairness. However, because of the nature of WSN, the energy of nodes near the sink node is diminished when packets move from lowly congested nodes to highly congested nodes. This paper proposes a proficient rate control with data aggregation and fair bandwidth allocation (PRCDA-FBA) to address this problem by using an effective data aggregation approach for reducing the number of transmissions. In the proposed method, fair bandwidth allocation is simplified by an artificial intelligence-based bandwidth prediction method. Thus, PRCDA-FBA increases the network's durability. Despite having lower bandwidth utilizations, energy-critical sensor nodes require careful power management to avoid being eavesdropped upon. Along with data aggregation and fair bandwidth allocation, the effects of overhearing packets by energy-critical nodes are mitigated through network-wide route adjustments based on the energy level of nodes. Thus, in the proposed method, data aggregation is scheduled based on the availability of bandwidth, energy, queue size and packet priority. The proposed method is named as energy-aware proficient rate control with data aggregation and fair bandwidth allocation (EPRCDA-FBA). The proposed algorithms have been deployed on the Network Simulator 2.35 platform, and a comparative analysis has been performed using several metrics, including throughput, packet loss, End-to-End (E2E) delay and energy utilization. The EPRCDA-FBA method archives highest throughput which is 9.17%, 5.48%, 4.68% and 2.45% higher than congestion control strategies like discrete-time sliding mode congestion controller (DSMC), weighted priority based fair queue gradient rate control (WPFQGRC), PRC-FBA and rate adjustment-based congestion control (RACC).

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“…Then, the data is sent to the main sensor (the base station). In fact, WSN is used in many fields of interest like industries [3], health care analysis [4], [5], traffic control [6], agriculture monitoring [7], and home automation [8], [9]. Nevertheless, it suffers from many constraints like limited bandwidth and resources [2].…”

Section: Introductionmentioning

confidence: 99%

An optimized discrete wavelet transform compression technique for image transferring over wireless multimedia sensor network

Taj

Yaden

2023

IJECE

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Transferring images in a wireless multimedia sensor network (WMSN) knows a fast development in both research and fields of application. Nevertheless, this area of research faces many problems such as the low quality of the received images after their decompression, the limited number of reconstructed images at the base station, and the high-energy consumption used in the process of compression and decompression. In order to fix these problems, we proposed a compression method based on the classic discrete wavelet transform (DWT). Our method applies the wavelet compression technique multiple times on the same image. As a result, we found that the number of received images is higher than using the classic DWT. In addition, the quality of the received images is much higher compared to the standard DWT. Finally, the energy consumption is lower when we use our technique. Therefore, we can say that our proposed compression technique is more adapted to the WMSN environment.

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A new medium access control mechanism for energy optimization in WSN: traffic control and data priority scheme

Cited by 15 publications

References 33 publications

Comparing Leach protocol and its descendants on transferring scalar data

Comparing Leach protocol and its descendants on transferring scalar data

Smart Bandwidth Prediction, Power Management and Adaptive Network Coding for WSN

An optimized discrete wavelet transform compression technique for image transferring over wireless multimedia sensor network

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