Approach to minimizing consumption of energy in wireless sensor networks

Noureddine, Seddiki; Benahmed, Khelifa; Mohammed, Belgachi

doi:10.11591/ijece.v10i3.pp2551-2561

Cited by 4 publications

(5 citation statements)

References 15 publications

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“…The normal nodes transmit their collected data to their CHs by their time slots in the TDMA schedule. The TDMA schedule is used to adjust the channel of internal Ì ISSN: 2088-8708 access in every cluster and reduce the interference between clusters [22]. Therefore, each CH aggregates and compresses the received data from its members with its own.…”

Section: Leach (Low Energy Adaptive Clustering Hierarchy)mentioning

confidence: 99%

An enhanced energy-efﬁcient routing protocol for wireless sensor network

Daanoune¹,

Baghdad²,

Ballouk³

2020

IJECE

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Recent few years, Wireless Sensor Network (WSN) has been an increasingly important technology that has been applied in almost all domains, even in complex environments where human activity is impossible. In WSN, various factors are impacted energy consumption, such as communication protocols, packet data transmission, and limited battery. So, the lifespan of the WSNs is limited. In this context, energy efficiency is the factor most attracted by many researchers. In this paper, we proposed a new improved LEACH routing protocol. This proposed protocol based on the current energy to select cluster-heads, and it uses a root cluster-head with more current energy and low distance to the sink to gather all data, then sends it to the sink. The simulation results in MATLAB confirmed that the proposed algorithm performed better than the conventional LEACH protocol, and increased the network lifetime in WSN.

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Section: Leach (Low Energy Adaptive Clustering Hierarchy)mentioning

confidence: 99%

An enhanced energy-efﬁcient routing protocol for wireless sensor network

Daanoune¹,

Baghdad²,

Ballouk³

2020

IJECE

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“…VLAN gives various advantages, including simplicity of the monitoring and controlling, reduced traffic resulted from high broadcasting, and execution of security approaches [12]- [14]. VLAN technology has also many benefits that are showed below: − Performance: VLAN divides high broadcast traffic into several domains of the little broadcast which decreases the unimportant traffic in the network by sending traffic just between devices that are joined to a similar VLAN.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of campus network involving VLAN and broadband multimedia wireless networks using OPNET modeler

Al-Khaffaf

Al-Hamiri

2021

TELKOMNIKA

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Modern technology is essential for all healthy, economic, and educational sectors. Using modern technology involves high-performance networks in terms of quality of service (QoS) parameters such as delay, throughput, bandwidth, and security. A campus network involves wire and the wireless environment with and without virtual local area network (VLAN) technology has been simulated using optimized network engineering tools (OPNET). The simulation model includes four scenarios that involve heavy-loaded File transfer protocol (FTP) and web browsing applications with two logical groups of users. The simulation results show that the VLAN overcome LAN networks in terms of bandwidth and security. This has been done by reducing the throughput in both sending and receiving levels to the confidential servers. The VLAN has also reduced the broadcast domain which results in a high-power efficiency. Moreover, the VLAN network technology has been proved to have lower values of delay in transferring files and packets than LAN network technology. In addition, VLAN technology generally has been decreased values of throughput regardless of the way of connection between servers and workstations. This, in turn, allows taking advantage of wireless connection features in terms of flexibility of installation and speed of configuration.

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“…WSN is one of the main technologies devoted to the identification, sensing, and controlling of physical environmental phenomena in real-time such as the detection and measurement of vibration, pressure, temperature and sound. [1][2][3]. The WSN can be incorporated in many sectors like street parking, smart roads, and industrial monitoring [4][5].…”

Section: Introductionmentioning

confidence: 99%

“…The base station (Sink), however, others data for processing and sends it to the central computer. A WSN managed by one or more base stations [1][2][3][4]9]. ISSN: 2088-8708  Performance evaluation of hierarchical clustering protocols with fuzzy C-means (Hamid Barkouk)…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of hierarchical clustering protocols with fuzzy C-means

Barkouk

En-Naimi

Mahboub

2021

IJECE

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The longevity of the network and the lack of resources are the main problems within the WSN. Minimizing energy dissipation and optimizing the lifespan of the WSN network are real challenges in the design of WSN routing protocols. Load balanced clustering increases the reliability of the system and enhances coordination between different nodes within the network. WSN is one of the main technologies dedicated to the detection, sensing, and monitoring of physical phenomena of the environment. For illustration, detection, and measurement of vibration, pressure, temperature, and sound. The WSN can be integrated into many domains, like street parking systems, smart roads, and industrial. This paper examines the efficiency of our two proposed clustering algorithms: Fuzzy C-means based hierarchical routing approach for homogeneous WSN (F-LEACH) and fuzzy distributed energy efficient clustering algorithm (F-DEEC) through a detailed comparison of WSN performance parameters such as the instability and stability duration, lifetime of the network, number of cluster heads per round and the number of alive nodes. The fuzzy C-means based on hierarchical routing approach is based on fuzzy C-means and low-energy adaptive clustering hierarchy (LEACH) protocol. The fuzzy distributed energy efficient clustering algorithm is based on fuzzy C-means and design of a distributed energy efficient clustering (DEEC) protocol. The technical capability of each protocol is measured according to the studied parameters.

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Approach to minimizing consumption of energy in wireless sensor networks

Cited by 4 publications

References 15 publications

An enhanced energy-efﬁcient routing protocol for wireless sensor network

An enhanced energy-efﬁcient routing protocol for wireless sensor network

Performance evaluation of campus network involving VLAN and broadband multimedia wireless networks using OPNET modeler

Performance evaluation of hierarchical clustering protocols with fuzzy C-means

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