Cross-layer based routing protocol for Wireless Sensor Networks using a fuzzy logic module

Messaoudi, Asma; Elkamel, Rabiaa; Helali, Abdelhamid; Bouallègue, Ridha

doi:10.1109/iwcmc.2017.7986381

Cited by 13 publications

(8 citation statements)

References 14 publications

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“…The performance of the proposed cross-layer protocol is evaluated by simulating the protocol using the MATLAB simulation. The simulation results are compared with, FAMACRO, 16 FAMACROW, 17 fuzzy cross-layer LEACH, 18 routing-MAC [24], and Energy-efficient Cross-layer-sensing Clustering Method (ECCM) [25] protocols to ensure the efficiency of the proposed cross-layer. The following metrics shall be used to measure the performance of the proposed protocol:…”

Section: Simulation and Resultsmentioning

confidence: 99%

“…The efficiency of the proposed cross-layer protocol is evaluated by comparing it with Cross-layer Based Routing Protocol for WSNs using a fuzzy logic module (fuzzy cross-layer LEACH) 18 in terms of the number of alive nodes and the residual energy. As presents in Figure 17, the proposed cross-layer gives better efficiency compared to fuzzy cross-layer LEACH in terms of live nodes.…”

Section: Fifth Scenariomentioning

confidence: 99%

“…Asma Messaoudi et al proposed a cross‐layer based routing protocol for WSNs using a fuzzy logic module 18 . The cross‐layer protocol takes advantage of the fuzzy logic module to check the status of the network before deciding to make any routing decisions in order to balance the energy load to maximize the network life of the nodes.…”

Section: Related Workmentioning

confidence: 99%

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Designing a reliable and energy‐efficient cross‐layer protocol for wireless sensor networks

Alabady

Alhajji

2021

Int J Communication

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Due to the energy scarcity that the wireless sensor networks currently face, many energy-efficient protocols have been developed and proposed in different layers, especially in the data link and network layers, as a large amount of energy consumed by the transceiver, idle-listening, collision, selecting the correct nodes to act as routers, long-distance transmission, etc., which are the responsibility of data link and network layers. Since these protocols address the reasons for energy loss in one layer and neglect the treatment of energy loss in other layers, as each layer of the TCP/IP module has its own features and has no control over the other layers. Therefore, there was a need for a cross-layer design. In this paper, an energy-efficient cross-layer between MAC layer and network layer has been proposed using slotted ALOHA based p-persistent CSMA MAC protocol and Enhance Energy Conservation based on Residual Energy and Distance (EECRED) in order to reduce energy consumption and increase the network lifetime. The performance of the proposed cross-layer protocol is evaluated by simulating the protocol using the MATLAB simulation. The simulation results are compared with the Fuzzy and Ant Colony Optimization (ACO) based MAC/Routing cross-layer protocol (FAMACRO), FAMACRO for wireless sensor networks (FAMACROW), fuzzy cross-layer LEACH, routing-MAC, and Energy-efficient Cross-layer-sensing Clustering Method (ECCM) protocols to ensure the efficiency of the proposed cross-layer. The simulation results show that the proposed cross-layer protocol is very energy efficient, provides stable networks, consumes little energy, and significantly increases the life of the network compared to the single-layer protocols where the improvement rate was 45%, 53%, 37%, 91%, and 28.72% compared to FAMACRO, FAMAROW, fuzzy cross-layer LEACH, routing-MAC, and ECCM protocols respectively in terms of the number of alive nodes or residual energy.

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Section: Simulation and Resultsmentioning

confidence: 99%

Section: Fifth Scenariomentioning

confidence: 99%

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Designing a reliable and energy‐efficient cross‐layer protocol for wireless sensor networks

Alabady

Alhajji

2021

Int J Communication

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“…These data are forwarded, via multiple hops, to a sink which may use it or relay it to other networks. To achieve an effective communication, WSNs need efficient routing protocols [2][3][4][5][6]. They facilitate communication in WSNs by discovering the appropriate routes for transmitting data and maintain the routes for subsequent transmissions.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Networks (WSNs): Security and Privacy Issues and Solutions

Olakanmi¹,

Dada²

2020

Wireless Mesh Networks - Security, Architectures and Protocols

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Wireless sensor networks (WSNs) have become one of the current research areas, and it proves to be a very supportive technology for various applications such as environmental-, military-, health-, home-, and office-based applications. WSN can either be mobile wireless sensor network (MWSN) or static wireless sensor network (SWSN). MWSN is a specialized wireless network consisting of considerable number of mobile sensors, however the instability of its topology introduces several performance issues during data routing. SWSNs consisting of static nodes with static topology also share some of the security challenges of MWSNs due to some constraints associated with the sensor nodes. Security, privacy, computation and energy constraints, and reliability issues are the major challenges facing WSNs, especially during routing. To solve these challenges, WSN routing protocols must ensure confidentiality, integrity, privacy preservation, and reliability in the network. Thus, efficient and energy-aware countermeasures have to be designed to prevent intrusion in the network. In this chapter, we describe different forms of WSNs, challenges, solutions, and a point-to-point multi-hop-based secure solution for effective routing in WSNs.

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“…Their nodes, with in‐built controllers and batteries as shown in Figure , are characterized by low energy, computation power constraint, and in‐deterministic topology due to their random mobilities, which contribute to the nonstability of MWSNs and lead to the low data delivery rate and general poor performance of MWSNs . Several routing protocols had been proposed for WSNs, some of these protocols as proposed in consider different factors to achieve reliability, increase routing speed, and low transmission energy. For example, to achieve reliable data delivery, many MWSN routing protocols select multiple optimal multihop paths instead of single optimal path for data routing in the network by using these characteristics to determine the optimal multihop paths .…”

Section: Introductionmentioning

confidence: 99%

Mobility and energy prediction models: Approach toward effective route management in mobile wireless sensor networks

Olakanmi

Odeyemi

Abbas

2020

Engineering Reports

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Mobile wireless sensor network (MWSN), as a backbone of most communication and embedded systems, is characterized by low data delivery as a result of the energy constraint and in‐deterministic movement of the nodes. To select optimal route path for a reliable data routing, protocols need to select neighbouring nodes with low mobility and residual energy parameters along the route. However, obtaining these parameters from the targeted nodes may encourage mischievous nodes to manipulate their energy and mobility parameters in their favor, leading to the selection of non‐optimal route path and/or exposing the network to other attacks. Rather than depending on the targeted nodes for these parameters, they can be accurately and securely obtained by sink node or base station using effective predictive models. However, most of the existing predictive models engaged by MWSN routing protocols either provide only the energy level or mobility factor of the nodes for optimal route path selection. This, therefore, reduces the reliability of the obtained optimal route paths in terms of data delivery. In this article, we propose predictive models for an accurate prediction of mobility and residual energy parameters of nodes in MWSN for efficient route management. The models are simulated on an existing MWSN protocol to determine their performance. The simulation results show that the adoption of these models in the development of routing protocol will not only lead to optimal route paths' selection but also enhance data delivery rate in MWSN.

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Cross-layer based routing protocol for Wireless Sensor Networks using a fuzzy logic module

Cited by 13 publications

References 14 publications

Designing a reliable and energy‐efficient cross‐layer protocol for wireless sensor networks

Designing a reliable and energy‐efficient cross‐layer protocol for wireless sensor networks

Wireless Sensor Networks (WSNs): Security and Privacy Issues and Solutions

Mobility and energy prediction models: Approach toward effective route management in mobile wireless sensor networks

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