Density Table-Based Synchronization for Multi-Hop Wireless Sensor Networks

El-Sharief, Mahmoud A.; El-Gawad, Mohamed A. Abd; Kim, HyungWon

doi:10.1109/access.2017.2780923

Cited by 17 publications

(22 citation statements)

References 25 publications

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“…In some applications it is required that the nodes are as inexpensive as possible due to the very large number of nodes that have to be deployed, rendering the option of installing GPS receiver on each node prohibitively expensive. Because of these reasons a multitude of synchronisation protocols which rely on the exchange of timing information between nodes have been proposed in the literature [19][20][21][22][23][24]. Synchronisation offers great benefits towards managing redundancy in mission-critical applications.…”

Section: Synchronisation For Mission-critical Wsnsmentioning

confidence: 99%

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

Scazzoli¹,

Magarini²,

Verticale³

2020

Harnessing Knowledge, Innovation and Competence in Engineering of Mission Critical Systems

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Wireless sensor networks (WSNs) are a technology that has been increasingly adopted thanks to their ability to inexpensively and safely gather information in difficult-to-access environments. Because of this they are an invaluable tool to gather knowledge about health, usage, and performance parameters of products in any environment as well as identify the onset of, and avoid or mitigate, catastrophic failures. This chapter will introduce the benefits that WSNs can bring to the process of knowledge management for the development and maintenance of products as well as discuss emerging research trends regarding two prominent concerns inherent to WSNs: redundancy management and synchronisation. After reviewing these results, their impact and applicability to mission-critical applications will be discussed, as well as the interaction between the solutions.

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Section: Synchronisation For Mission-critical Wsnsmentioning

confidence: 99%

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

Scazzoli¹,

Magarini²,

Verticale³

2020

Harnessing Knowledge, Innovation and Competence in Engineering of Mission Critical Systems

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“…We first describe the previous method to identify the collisions of simultaneous-access type followed by HCMAC's enhanced collision detection later. To identify collisions, the previous feedback mechanism [24,25] operates as follows: each vehicle receives a feedback from each neighboring receiver in a form of neighbor list. By inspecting the feedback, each vehicle can determine whether its packet was successfully delivered.…”

Section: Detection Of Simultaneous-access Collisionsmentioning

confidence: 99%

A cooperative V2X MAC protocol for vehicular networks

El-Gawad

El-Sharief

Kim

2019

J Wireless Com Network

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In support of traffic safety applications, vehicular networks should offer a robust Medium Access Control (MAC) layer protocol that can provide a reliable delivery service to safety-related messages. As the safety applications generally use broadcasting to propagate their messages, a reliable broadcast protocol is essential. In general, however, broadcast is considered as unreliable by nature in contrast to unicast. This paper introduces a novel MAC protocol, called a Hybrid Cooperative MAC (HCMAC), which can substantially enhance the reliability of broadcast in vehicular networks by employing a notion of channelization. HCMAC introduces a hybrid protocol that combines a time slot allocation of Time Division Multiple Access (TDMA) and a random-access technique of Carrier Sense Multiple Access (CSMA) and thus minimizes the probability of data collisions. In addition, its feedback strategy further enhances the system performance by preventing transmissions during time slots that experience collisions. Through analysis and simulations, we compare the performance of HCMAC with VeMAC, an existing TDMA protocol. The results demonstrate that HCMAC can offer substantially faster channel access and lower collision rate compared with VeMAC.

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“…They are often battery-operated, and sometimes it is infeasible to recharge or replace batteries. Consequently, the lifetime of the battery becomes a crucial concern in the design of IWSNs [ 4 , 5 ]. To maximize the battery lifetime and conserve the battery power, a time-synchronous operation is regularly preferred.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the sensor nodes need time synchronization to coordinate wake up and sleep operations at an arranged time. Consequently, sensor nodes require trust and robust synchronization [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

EERS: Energy-Efficient Reference Node Selection Algorithm for Synchronization in Industrial Wireless Sensor Networks

El-Sharief

El-Gawad

et al. 2020

Sensors

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Time synchronization is an essential issue in industrial wireless sensor networks (IWSNs). It assists perfect coordinated communications among the sensor nodes to preserve battery power. Generally, time synchronization in IWSNs has two major aspects of energy consumption and accuracy. In the literature, the energy consumption has not received much attention in contrast to the accuracy. In this paper, focusing on the energy consumption aspect, we introduce an energy-efficient reference node selection (EERS) algorithm for time synchronization in IWSNs. It selects and schedules a minimal sequence of connected reference nodes that are responsible for spreading timing messages. EERS achieves energy consumption synchronization by reducing the number of transmitted messages among the sensor nodes. To evaluate the performance of EERS, we conducted extensive experiments with Arduino Nano RF sensors and revealed that EERS achieves considerably fewer messages than previous techniques, robust time synchronization (R-Sync), fast scheduling and accurate drift compensation for time synchronization (FADS), and low power scheduling for time synchronization protocols (LPSS). In addition, simulation results for a large sensor network of 450 nodes demonstrate that EERS reduces the whole number of transmitted messages by 52%, 30%, and 13% compared to R-Sync, FADS, and LPSS, respectively.

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Density Table-Based Synchronization for Multi-Hop Wireless Sensor Networks

Cited by 17 publications

References 25 publications

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

A cooperative V2X MAC protocol for vehicular networks

EERS: Energy-Efficient Reference Node Selection Algorithm for Synchronization in Industrial Wireless Sensor Networks

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