MAC-aware routing in wireless sensor networks

Louail, Lemia; Felea, Violeta; Bernard, Julien; Guyennet, Hervé

doi:10.1109/blackseacom.2015.7185120

Cited by 9 publications

(13 citation statements)

References 15 publications

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“…A cross-layer model was developed in [33] that dynamically switches the MAC behavior between TDMA and CSMA. A MAC-Aware Routing protocol for WSNs (MAR-WSN) was developed in [45] by applying cross-layer information. MAR-WSN employs two-hop information to make next-hop routing decisions.…”

Section: Related Workmentioning

confidence: 99%

JSMCRP: Cross-Layer Architecture based Joint-Synchronous MAC and Routing Protocol for Wireless Sensor Network

Viswanath¹,

Nagendrappa²,

Venkatesh³

2021

ECTI-EEC

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The exponential rise in wireless technologies and allied applications has revitalized academia-industries to develop more efficient and economic routing solution to meet Quality-of-Service (QoS) provision. Amongst the major wireless communication systems, Wireless Sensor Network (WSN) is the most sought technology for defense surveillance, healthcare monitoring, industrial monitoring and control, civic and strategic infrastructure surveillance etc. Additionally, the up surge in Internet of Things (IoT) and Machine to Machine (M2M) communication systems too have broadened the horizon for WSNs based communication. However, the parallel increase in communication environment, complex network conditions etc confine efficacy of the classical WSN protocols. Dynamic network and node conditions often force classical protocols to undergo pre-mature link outage, delayed transmission, energy exhaustion and eventual QoS violation. To address such issues enhancing Median Access Control (MAC) and allied routing decision can have vital significance. However major existing efforts either focus on MAC enhancement or routing optimization, even under static WSN topology. Considering it as motive in this paper a highly robust “Cross-layer architecture based Joint-Synchronous MAC and Routing Protocol for WSN communication (JSMCRP)” has been developed. Being cross layer model JSMCRP protocol employs Application Layer, Network Layer, MAC Layer and PHY Layer to perform Network Adaptive MAC scheduling and Dynamic Routing Decision. JSMCRP employs Data Traffic Assessment, Prioritization and Scheduling (DTAPS), Proactive Network Monitoring and Knowledge (PNMK), Dynamic Congestion Index Estimation (DCIE), Adaptive Link Quality, Packet Injection Rate and Cumulative Rank Sensitive Routing Decision (CRSRD) to perform routing decision. Additionally, exploiting dynamic network/node conditions it performs Cognitive MAC scheduling to ensure QoS centric communication over IEEE 802.15.4 protocol stack. JSMCRP exhibited higher PDR, lower PLR and low delay under varying network conditions, suitable for real-time communication over constrained mobile WSN conditions.

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Section: Related Workmentioning

confidence: 99%

JSMCRP: Cross-Layer Architecture based Joint-Synchronous MAC and Routing Protocol for Wireless Sensor Network

Viswanath¹,

Nagendrappa²,

Venkatesh³

2021

ECTI-EEC

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“…There are very few protocols that use the TDMA schedule and the routing tree to reduce the energy consumption consumed and latency. To the best of our knowledge, there are only three classic approaches MAC-aware [44][45][46] (for more details, see Section 3) in the literature that use the random TDMA schedule information to optimize only energy consumption and latency.…”

Section: Motivationmentioning

confidence: 99%

ACOMAR: ACO‐based MAC‐aware routing protocol

Mechta

Mahgoun

Harous

2021

Int J Communication

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In this work, we present a new nature-inspired cross-layer routing protocol named ACO-based MAC-aware routing protocol (ACOMAR). An enhancement of time division multiple access (TDMA) algorithm is proposed where slots allocation algorithm considers the geographical distance between nodes and the sink. The nodes that are far away from the sink have better chance to be scheduled first. This strategy will result in more efficiency than a usual random TDMA schedule. This algorithm uses a metric based on the pheromone's value of Ant Colony Optimization (ACO) to choose the best next hop with the aim of reducing latency and energy and extending the network lifetime. Comparisons are made between ACOMAR, MAC-aware routing (MAR) and the latest cross-layer protocol latency and energy MAC-aware routing (LEMAR). The experimental results show that ACOMAR outperforms considerably LEMAR by 80%, 20%, 81%, and 54% in latency, energy, hop count, and throughput, respectively. Consequently, ACOMAR is a suitable solution for healthcare applications where WSN-based critical IoT devices interact quickly in emergence cases (high rate in latency optimization 80%).

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“…The routing in MAC protocol would have taken coherent decisions in space which have proved very efficient in many metrics: hop number, delay, and energy consumption. Gonizzi et al [70] stated that the protocols employing asynchronous radio duty cycling can exhibit reduced delay because of the decoupled wake-up periods of the nodes. By the intention of authors [70] proposed RAWMAC, a cross-layer approach for RPL, a tree-based routing protocol.…”

Section: Related Workmentioning

confidence: 99%

“…Gonizzi et al [70] stated that the protocols employing asynchronous radio duty cycling can exhibit reduced delay because of the decoupled wake-up periods of the nodes. By the intention of authors [70] proposed RAWMAC, a cross-layer approach for RPL, a tree-based routing protocol. This protocol manages the asynchronous duty-cycled ContikiMAC MAC layer and dynamically aligns the wake-up instants of the nodes with respect to the RPL topology by reducing the delay for data collection.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Medium Access Control Protocols for Wireless Sensor Networks – A Survey

Shruti¹

2019

IJATCSE

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The Wireless Sensor Networks (WSNs) are not centralized and doesn't have a proper infrastructure that enables it to be the dominant networking solution for major communication demands. Though, a number of efforts have been made to augment WSN routing protocols, however ever-increasing complexity including topological variations, resource constrained environment, event-driven deadline sensitive communication demands alarm for better routing scheme. Amongst major potential solutions optimizing Medium Access Control (MAC) of the standard IEEE 802.15.4 which is default protocol stack of WSN has always been the dominant solution. However, to cope-up with above stated demands augmenting MAC protocol has always been an open and broadened horizon for researchers. With this motivation, in this paper, surveys of numerous recently developed state-of-arts MAC protocols have been presented. In addition to this, different MAC protocols with respective strengths as well as weaknesses have been presented.

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MAC-aware routing in wireless sensor networks

Cited by 9 publications

References 15 publications

JSMCRP: Cross-Layer Architecture based Joint-Synchronous MAC and Routing Protocol for Wireless Sensor Network

JSMCRP: Cross-Layer Architecture based Joint-Synchronous MAC and Routing Protocol for Wireless Sensor Network

ACOMAR: ACO‐based MAC‐aware routing protocol

Energy Efficient Medium Access Control Protocols for Wireless Sensor Networks – A Survey

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