A mutlipath routing algorithm for wireless sensor networks under distance and energy consumption constraints for reliable data transmission

Benaddy, Mohamed; Habil, Brahim El; Ouali, Mourad El; Meslouhi, Othmane El; Krit, Salah-ddine

doi:10.1109/icemis.2017.8273076

Cited by 28 publications

(23 citation statements)

References 12 publications

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“…Where ASN represents the total number of time slots from the beginning of the TSCH network, ASN = (k*s+t s ), k is the time slot period, s is the time slot frame size, t s representing the time slot. (Where 0≤t s ≤ s − 1, 0 ≤ CH offset ≤ | | HS | |) where the IEEE 802.15.4e network running at the 2.4 GHz has a total of 16 (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26) channels.…”

Section: Channel Selectionmentioning

confidence: 99%

“…HCA is a combination of fixed channel allocation (FCA) and dynamic channel allocation (DCA), so the performance of HCA has the common characteristics of FCA and DCA [12][13][14].…”

Section: Performance Analysis Of Hcamentioning

confidence: 99%

“…The fourth line of the algorithm divides the dynamic and static channels. Lines 6-10 show that when the amount of information is less than a certain value, the information between nodes is transferred in the dynamic channel, and lines [12][13][14][15][16] show that when the amount of information between nodes is greater than a certain value, it is transferred in the static channel. Line 17 shows the division of dynamic and static channel proportion.…”

Section: Ahca Algorithm Mechanismmentioning

confidence: 99%

See 2 more Smart Citations

An improved fast transform algorithm based on adaptive hybrid channel allocation in TSCH networks

Zhu

et al. 2020

J Wireless Com Network

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Time Slotted Channel Hopping (TSCH) is one of the five access behavior technologies defined in the IEEE 802.15.4e standard. Research shows that the wireless sensor network with single dynamic and static channel allocation in TSCH mode has higher performance. The clogging rate results in unnecessary energy waste. Therefore, this paper proposes an adaptive hybrid channel allocation strategy (AHCA) to measure the link quality change of wireless sensor networks in TSCH mode. The strategy estimates the part of the channel quality and determines whether the node wants to transmit on this channel and the optimal channel for node information transmission. According to the change of the amount of information transmitted, the hybrid channel allocation scheme of the dynamic and static channel ratio is adaptively adjusted to reduce the energy consumption of the information transmission process. This article performs experimental simulation on Contiki-NG. The experimental results show that the proposed scheme has shorter transmission time and lower congestion rate than the single dynamic static channel allocation wireless sensor network. The more reasonable and effective measurement, analysis and use of channel resources can fundamentally increase the amount of information transfer in wireless sensor networks per unit time, and thus extend the lifetime of wireless sensor networks.

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Section: Channel Selectionmentioning

confidence: 99%

“…HCA is a combination of fixed channel allocation (FCA) and dynamic channel allocation (DCA), so the performance of HCA has the common characteristics of FCA and DCA [12][13][14].…”

Section: Performance Analysis Of Hcamentioning

confidence: 99%

Section: Ahca Algorithm Mechanismmentioning

confidence: 99%

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An improved fast transform algorithm based on adaptive hybrid channel allocation in TSCH networks

Zhu

et al. 2020

J Wireless Com Network

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“…Routing mechanism also makes great influence on data transmission efficiency. Therefore, a lot of researches [1], [6]- [9] concentrate on optimizing routing algorithms and protocols in WSN. Kumar and Vidyarthi [1] propose an energy efficient routing mechanism for WSN in software defined networking architecture.…”

Section: Related Workmentioning

confidence: 99%

Stochastic Optimization of Data Access and Hybrid Transmission in Wireless Sensor Network

et al. 2020

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In recent years, the rapid advancements in Internet of Things boost the utilization of Wireless Sensor Network (WSN). Through WSN, a huge amount of various kinds of data can be acquired from different environments, which further facilitate us to harness the world we live. However, the error-prone and unpredictable natures of wireless links significantly impair the quality of data transmission and the utility of acquired data in WSN. Therefore, to solve this crucial problem, this paper focuses on data access control and hybrid transmission control of WSN. Based on the mathematical models of the two control operations, an intractable optimization problem is first formulated with numerous considerations, including data utility, energy consumption, network stability and data loss rate. Because of the complexity and intractability of the originally formulated problem, a Lyapunov function-based network optimization theory is utilized to transform and decompose it into three relatively simple subproblems. Stochastic Data Scheduling Mechanism (SDSM) is designed based on the solutions to the three subproblmes. The optimality and implementation of SDSM are also analyzed. Finally, the performance of SDSM is demonstrated through extensive evaluations. INDEX TERMS Wireless sensor network, data access, hybrid transmission, stochastic scheduling.

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“…The lifetime of a sensor network can be extended by the joint application of different techniques [10,11,21,[36][37][38][39]. For example, [10,11] proposed an energy efficient solution designed to minimize energy consumption during the activity of the network, minimizing the number of packets to be sent…”

Section: Energy Conservation Of a Sensor Nodementioning

confidence: 99%

Energy Consumption and Lifetime of Wireless Sensor Networks Applications in Smart Cities: Simulation for Urban Mobility

Kabrane¹

2017

IJSSN

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From now to 2030, the world urban mobility will increase by 50%. This increase will be mainly performed in developing countries which already suffer from congestion traffic especially in large cities where road traffic reaches a high density. This situation leads to a serious impact on the economic and social growth. The urban traffic management has become an essential factor. Within the framework of a Moroccan city like Casablanca (1.5 million vehicles a day run there ), an efficient road traffic management turns to be necessary so as to solve the serious problem of traffic jams and to decrease the problem of traffic jams and improve the fluidity of the road traffic. We are settling intelligent systems transport (IST) such as the case of smart cities. The traffic simulation is a better way to evaluate a road traffic network. The latter is simulated by using two simulators, Green Light district (GLD) and Simulator Urban Mobility (SUMO). We have been working with an Open Street Map in the SUMO traffic, in order to get closer to reality. This study describes a low cost and energy saving urban monitoring mobility system based on wireless sensor networks (WSNs ). Simulation results show that our suggested algorithm is efficacious and practical in different cases; it could reduce the number of packages sent from each sensor placed on the track. This proposed solution provides the sensor networks with a longer lifetime of sensor networks:by reducing its energy consumption.

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A mutlipath routing algorithm for wireless sensor networks under distance and energy consumption constraints for reliable data transmission

Cited by 28 publications

References 12 publications

An improved fast transform algorithm based on adaptive hybrid channel allocation in TSCH networks

An improved fast transform algorithm based on adaptive hybrid channel allocation in TSCH networks

Stochastic Optimization of Data Access and Hybrid Transmission in Wireless Sensor Network

Energy Consumption and Lifetime of Wireless Sensor Networks Applications in Smart Cities: Simulation for Urban Mobility

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