A survey on packet size optimization for terrestrial, underwater, underground, and body area sensor networks

Yiğit, Melike; Yildiz, Hüseyin Uğur; Kurt, Sinan; Tavlı, Bülent; Güngör, Vehbi Çağrı

doi:10.1002/dac.3572

Cited by 20 publications

(12 citation statements)

References 70 publications

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“…QoS requirements [14,20,31,32] Each MAC protocol approach has its benefits and limitations. Using the appropriate approach can help to meet the key performance metrics by factoring the unique needs of the target application.…”

Section: Issues Summarymentioning

confidence: 99%

“…Therefore, to support such a time-sensitive application, it is necessary to enhance the underwater communication relative to the Energy Efficiency (EE), Communication Overhead Ratio (COR) and Fairness Index (FI). Solutions that exist in Terrestrial Wireless Sensor Networks (TWSNs) for time-sensitive applications cannot be implemented in UASNs, due to acoustic channel characteristics, including limited bandwidth, high path loss, multipath effects, long and variable delay, high noise, and doppler spread [ 1 , 13 , 14 , 15 , 16 , 17 ]. Specifically, due to the characteristics of acoustic channel, using the handshake-based approach to avoid collision is considered expensive.…”

Section: Introductionmentioning

confidence: 99%

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DAMAC: A Delay-Aware MAC Protocol for Ad Hoc Underwater Acoustic Sensor Networks

Guqhaiman

Akanbi

Aljaedi

et al. 2021

Sensors

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In a channel shared by several nodes, the scheduling algorithm is a key factor to avoiding collisions in the random access-based approach. Commonly, scheduling algorithms can be used to enhance network performance to meet certain requirements. Therefore, in this paper we propose a Delay-Aware Media Access Control (DAMAC) protocol for monitoring time-sensitive applications over multi-hop in Underwater Acoustic Sensor Networks (UASNs), which relies on the random access-based approach where each node uses Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) to determine channel status, switches nodes on and off to conserve energy, and allows concurrent transmissions to improve the underwater communication in the UASNs. In addition, DAMAC does not require any handshaking packets prior to data transmission, which helps to improve network performance in several metrics. The proposed protocol considers the long propagation delay to allow concurrent transmissions, meaning nodes are scheduled to transmit their data packets concurrently to exploit the long propagation delay between underwater nodes. The simulation results show that DAMAC protocol outperforms Aloha, BroadcastMAC, RMAC, Tu-MAC, and OPMAC protocols under varying network loads in terms of energy efficiency, communication overhead, and fairness of the network by up to 65%, 45%, and 726%, respectively.

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Section: Issues Summarymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

DAMAC: A Delay-Aware MAC Protocol for Ad Hoc Underwater Acoustic Sensor Networks

Guqhaiman

Akanbi

Aljaedi

et al. 2021

Sensors

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“…In [30], Warrier explained that scattering, refraction, and reflection play an important role in WUSN for the communication of electromagnetic waves. Yigit et al [31] discussed packet size in WUSNs. Packet size is an important factor for the reliability and performance of a network.…”

Section: Gateway Nodementioning

confidence: 99%

Wireless Underground Sensor Networks

Muhammad

Wan²,

Yang³

et al. 2019

Int J Performability Eng

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With the development of sensing networks and Internet of things, wireless sensor networks have been applied to different fields of our society. With the perceived sensing demands for soil, mining lanes, etc., wireless underground sensor networks (WUSNs) have developed rapidly recently. Compared to typical terrestrial wireless sensor networks, WUSNs have unique applications and features due to their wireless transmission characteristics and layout environments, especially WUSNs in soil. In this paper, we discuss the wireless propagation characteristics and engineering implementation methods of WUSNs in tunnels/tubes/pipelines/lanes and WUSNs in soil. The prospects for the future development of WUSN are discussed as well.

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“…Wireless Underground Sensor Networks (WUSNs) are a promising territory of real-time monitoring and exploration in many underground applications involving intelligent agriculture, pipeline fault diagnosis, subway tunnels, coal mines, earth geology, and earthquake disaster prediction. In this network type, wireless sensor nodes are buried under the ground and exchange sensory information through soil medium [1,2]. A primary privilege of using WUSNs is that buried nodes are generally not affecting the functional operations on the ground [3].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, an adaptive power allocation, by considering different power constraints among transmissions, is addressed to further improve the RE of the dynamic underground system. The major contributions of our work are listed as follows: Journal of Sensors (1) A power allocation scheme maximizing the RE in a WUSN where underground source nodes transmit sensory information to an aboveground sink node through underground relay nodes using UG2UG and UG2AG communication links is proposed (2) The SSA is used to optimally find the source and relay powers required to transmit a new data packet maximizing the RE and considering minimum and maximum allowed values and the initial node battery capacities…”

Section: Introductionmentioning

confidence: 99%

Energy‐Spectral Efficiency Optimization in Wireless Underground Sensor Networks Using Salp Swarm Algorithm

2021

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Achieving high data rate transmission is critically constrained by green communication metrics in Wireless Sensor Networks (WSNs). A unified metric ensuring a successful compromise between the energy efficiency (EE) and the spectral efficiency (SE) is, then, an interesting design criterion in such systems. In this paper, we focus on EE-SE tradeoff optimization in Wireless Underground Sensor Networks (WUSNs) where signals penetrate through a challenging lossy soil medium and nodes’ power supply is critical. Underground sensor nodes gather and send sensory information to underground relay nodes which amplify-and-retransmit received signals to an aboveground sink node. We propose to optimize source and relay powers used for each packet transmission using an efficient recent metaheuristic optimization algorithm called Salp Swarm Algorithm (SSA). Thus, the optimal source and relay transmission powers, which maximize the EE-SE tradeoff under the maximum allowed transmission powers and the initial battery capacity constraints, are obtained. Further, we study the case where the underground medium properties are dynamic and change from a transmission to another. For this situation, we propose to allocate different maximum node powers according to the soil medium conditions. Simulation results prove that our proposed optimization achieves a significant EE-SE tradeoff and prolongs the network’s lifetime compared to the fixed allocation node power scheme. Additional gain is obtained in case of dynamic medium conditions.

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A survey on packet size optimization for terrestrial, underwater, underground, and body area sensor networks

Cited by 20 publications

References 70 publications

DAMAC: A Delay-Aware MAC Protocol for Ad Hoc Underwater Acoustic Sensor Networks

DAMAC: A Delay-Aware MAC Protocol for Ad Hoc Underwater Acoustic Sensor Networks

Wireless Underground Sensor Networks

Energy‐Spectral Efficiency Optimization in Wireless Underground Sensor Networks Using Salp Swarm Algorithm

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