Contention Window-Based MAC Protocol for Wireless Sensor Networks

Cheng, Bin; Ci, Linlin; Tian, Chen; Li, Xuanya; Yang, Ming‐Lin

doi:10.1109/dasc.2014.92

Cited by 4 publications

(6 citation statements)

References 11 publications

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“…Similarly, an Energy Aware Routing MAC Protocol (EARMP) was developed by varying duty cycles. However, inappropriate duty-cycling can make the MAC be constrained when handling dynamic traffic [30]. Location-Based RMAC (RL-MAC) applied location information to configure nodes with non-uniform CWmin (minimum contention window) to perform data forwarding over multiple hops [30].…”

Section: Related Workmentioning

confidence: 99%

“…However, inappropriate duty-cycling can make the MAC be constrained when handling dynamic traffic [30]. Location-Based RMAC (RL-MAC) applied location information to configure nodes with non-uniform CWmin (minimum contention window) to perform data forwarding over multiple hops [30]. However, distance information by itself cannot guarantee optimality over a dynamic network.…”

Section: Related Workmentioning

confidence: 99%

“…In such cases, ensuring optimal routing and MAC model becomes necessary. Realizing this fact, we examined our proposed routing protocol by varying node density (10,20,30,40,50, and 60 nodes distributed across 100 × 100 network region). Thus, varying the node density parameter, the PDR was obtained using Eq.…”

Section: 1 Performance Assessment With Varying Node Densitymentioning

confidence: 99%

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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%

Section: Related Workmentioning

confidence: 99%

Section: 1 Performance Assessment With Varying Node Densitymentioning

confidence: 99%

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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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“…With the estimated number of packets, Authors identified the optimum sleep time to ensure optimal energy-efficient and QOS centric routing. Cheng et al [31] addressed the issue of prevailing duty-cycle MAC protocols (such as sensor MAC (S-MAC)) which will not apply any affect of network infrastructure derives in the inherent traffic distribution characteristic. They stated that such event often adversely affects QoS.…”

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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“…The probability of nodes access channel is mainly effected by the CW size, that is, CW is more smaller, node access channel is more easier [14,15]. SQ-MAC can achieve service differentiation by setting different CW size for different priority traffic classes.…”

Section: Adaptive Back-off Mechanismmentioning

confidence: 99%

Untitled

2017

IJCSI

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Considering traditional MAC protocols for Wireless Sensor Networks cannot provide service differentiation for different traffic classes, we propose a Self-adaption QoS-aware MAC protocol (SQ-MAC). The protocol can provide collision-free time slots for nodes, and take different contention window size for different traffic classes. It can also introduce virtual multiqueue and relatively fair scheduling mechanism for data packets. Simulation results show that, compared with the low priority traffic, the transmission quality of high priority traffic is effectively improved, in terms of packet delivery ratio, latency and so on. Additionally, compared with S-MAC and DQ-MAC, SQ-MAC also maintains a good network performance.

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Contention Window-Based MAC Protocol for Wireless Sensor Networks

Cited by 4 publications

References 11 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

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

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