MAC-Aware Routing in Multi-Sink WSN with Dynamic Back-Off Time and Buffer Constraint

Leao, Lucas Augusto de Araujo Marques; Felea, Violeta; Guyennet, Hervé

doi:10.1109/ntms.2016.7792459

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…The works presented in [21,3,13,24] are more closely related to the work presented in this paper. In [21], in addition to an algorithm that computes the shortest-path trees rooted at each sink in a multi-sinks WSN, the authors proposed a scheduling algorithm that uses a graph colouring technique.…”

Section: Related Worksupporting

confidence: 52%

“…Protocols that have been developed for communication in WSNs with multiple sinks can be found in [5,28,21,3,39,41,48,6,13,24]. The authors of [5] developed an algorithm where a node chooses a sink in a multi-sink WSN to send its data in such a way that it minimizes energy consumption.…”

Section: Related Workmentioning

confidence: 99%

“…Subsequently, the algorithm computes the schedules for the nodes. In [13] and [24], the authors proposed cross-layer schemes that consider the routing as well as the MAC layer to maximize the network lifetime and reduce the latency respectively. Most of the above protocols either developed appropriate routing protocols for multi-sinks WSNs or the techniques involved a subset of the nodes forwarding messages to a single sink only.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Many-to-many data aggregation scheduling in wireless sensor networks with two sinks

Saginbekov

Jhumka

2017

Computer Networks

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Section: Related Worksupporting

confidence: 52%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Many-to-many data aggregation scheduling in wireless sensor networks with two sinks

Saginbekov

Jhumka

2017

Computer Networks

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“…Additionally, the use of a handshake might introduce redundancy and delay. For multi-sink WSN (MS-WSN) a cross layer protocol was developed in [38]. However, it merely focused on buffer management to enhance performance.…”

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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Multi-level Hierarchical Information-Driven Risk-Sensitive Routing Protocol for Mobile-WSN: MHIR-SRmW

Shruti¹,

Thippeswamy²

2022

Emerging Research in Computing, Information, Communication and Applications

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MAC-Aware Routing in Multi-Sink WSN with Dynamic Back-Off Time and Buffer Constraint

Cited by 4 publications

References 9 publications

Many-to-many data aggregation scheduling in wireless sensor networks with two sinks

Many-to-many data aggregation scheduling in wireless sensor networks with two sinks

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

Multi-level Hierarchical Information-Driven Risk-Sensitive Routing Protocol for Mobile-WSN: MHIR-SRmW

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