Forward Error Correction based Encoding Technique for Cross-layer Multi Channel MAC protocol

Karwal, Vikram; Sahoo, Sarat Kumar; Narayana, Komanapalli Venkata Lakshmi

doi:10.1016/j.egypro.2017.05.202

Cited by 6 publications

(6 citation statements)

References 21 publications

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“…CFMSS [32] has considered superframe scheduling under the beacon scheduling process but has not considered the coexistence environment. FEC-CMCMAC [33] have considered the superframe scheduling and have recovered the data lost due to the collision but doesn't considered the dynamic environment. FDRX [6] has considered the latency requirements as per the smart grid policies, but ignored the coexistence environment and assumed as there is no effect observed as PSOLACES works, 3% better compared to FEC-CMCMAC, 6% better compared to CMCMAC, almost 15% better when compared to CFMSS, 14% better compared to FDRX and approximately 16% better when compared to RDBS.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The MAC layer triggers the channel shifting process, in selecting a better channel with minimum interference. In [33] the forward error correction was proposed as an addition to CMCMAC above so as to recover the collided data (partially lost) due to collision. Though it detects the interference proactively, the channel switching process is not proactive and hence consumes significant amount of delay.…”

Section: Related Workmentioning

confidence: 99%

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Load Aware Channel Estimation and Channel Scheduling for 2.4GHZ Frequency Band Based Wireless Networks for Smart Grid Applications

Karwal

Sahoo

2017

International Journal on Smart Sensing and Intelligent Systems

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The advanced monitoring and control applications consider Wireless Sensor Networks (WSN) as a promising technology for modern applications like the Internet of Things (IoT), Smart Grid and Wireless Body Area Networks (WBAN). The WSN has important features like less cost, low power usage, supportable data rates and complexity. There is a need for continuous research on improving characteristics and abilities of WSN. The reliable performance of WSN depends on the latency necessities depending on the type of application and Quality of Service (QoS) parameters. The technologies like Zigbee, WiFi, and Bluetooth operating in 2.4GHz are mostly considered for deploying the WSN. Because of coexistence environment, the performance of Zigbee gets affected in terms of channel switching and causes the significant amount of delay. Also, the data transmission should be performed without any collision. In this paper, initially, the pseudorandombased interference evading scheme is introduced for efficient data communication. During this scheme, if node attains a channel it must wait for a network reconfiguration time for moving to next channel. Hence, during this time other nodes are allowed for moving to the new channel. Secondly, for moving to the new channel load aware channel estimation is proposed to assess the possibility of traffic weight assignment at each channel. Finally, the Particle swarm optimization (PSO) based collision avoiding multiple-channel based superframe scheduling is proposed for IEEE 802.15.4 based wireless networks working under the influence of IEEE 802.11b network. The channel with best energy function is selected for data transmission. The work proposed in this paper is evaluated based on the comparison to the existing works. From the results obtained it is inferred as proposed work shows better performance in terms of packet error rate, packet delivery ratio, and energy consumed when compared to the existing algorithms.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Load Aware Channel Estimation and Channel Scheduling for 2.4GHZ Frequency Band Based Wireless Networks for Smart Grid Applications

Karwal

Sahoo

2017

International Journal on Smart Sensing and Intelligent Systems

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“…Generally, a three‐step process is executed in CMCMAC protocol. Existing interference approximation is performed. Future interference is projected based on Hidden Markov Model (HMM). Channel with minimum interference is allotted for Zigbee transmission 36 The Energy Efficient Cross‐layer Protocol (EECP) endeavors the data that have been produced by means of the neighboring layers such as physical layer, MAC layer, and the network.…”

Section: Related Workmentioning

confidence: 99%

Cross‐layered energy optimization with MAC protocol based routing protocol in clustered wireless sensor network in internet of things applications

Ajmi

Msolli

Helali

et al. 2021

Int J Communication

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Summary In the present situation, there is a huge research gap and development present in the creation and utilization of smart environment due to the development of wireless sensor network (WSN) and Internet of Things (IoT). The disadvantage of the earlier models and present systems is it consumes more power and there is a presence of network monitoring issues. Here, there is a need of developing a model which solves both this issues for the real time environment. So, in this paper, we developed a novel model which is a cross‐layered energy optimization‐based Medium Access Control (CEO‐MAC) protocol to overcome those issues. Our model considers the optimal design of the network and MAC layer. Its focus is on the CEO‐MAC routing model, cross‐layer MAC model, cross‐layer energy optimization model, and intercluster/intracluster MAC operational model. This model is briefly analyzed and simulated using Network Simulator 2 (NS2) software, which is the discrete event simulator that works using C++ and Tcl languages. Our protocol is simulated and compared with the present models such as TDL, CMISO, and PCL‐IDA protocols.

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“…Hence the work carried will guarantee the delay experienced by ZigBee while maintaining the data rate of WLAN. The cross-layer multichannel MAC protocol was introduced in [29] for interference avoidance between WiFi and ZigBee operating in the 2.4GHz frequency band. Based on the present state interference calculation, the forthcoming interference is estimated based on hidden Markov model and based on the estimation the channel with low interference is assigned.…”

Section: Related Workmentioning

confidence: 99%

“…This work has considered the load scheduling effectively but have not considered the Channel utilization parameter. The CMCMAC-FEC [29] was proposed for coexisting mechanism environment and have considered efficient packet delivery towards receiver side and also arrangement was there for finding the low interference effected channel. But could not assess the channel utilization effectively.…”

Section: Performance Evaluationmentioning

confidence: 99%

A Collaborative Framework for Avoiding Interference Between Zigbee and WiFi for Effective Smart Metering Applications

Karwal¹,

Sahoo²

2018

ELS

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Energy management is one of the foremost priorities of research in many countries across the world. The introduction of modern information and communication technologies (ICT) are transforming the existing power grid, towards a more distributed and flexible "Smart Grid" (SG). The wireless sensor networks (WSN) are considered for data communication and are generally, incorporated with actuators to implement the control actions remotely. The wireless technologies like ZigBee (for automation), WiFi (for internet) and Bluetooth (entertainment) work in the 2.4GHz band. The coexistence of different wireless technologies working in the common area is unavoidable. Hence, this phenomenon degrades the performance of each other, due to the interference phenomenon. The wireless nodes with high energy had a great influence on the performance of the nodes working with low energy. Under the influence of interference, the low-power nodes experience the uncertain sleep-wake scheduling and increased delays in channel occupation. Interference also results in, high packet error rates (PER), decreased throughput, and high energy consumption. Hence for overcoming the above problems, A collaborative framework for an effective interference management and its avoidance is proposed in this paper. The framework proposed assures the effective ZigBee communication by systematic channel scheduling operating even under the influence of Wi-Fi. The work proposed performs better even under extreme interference conditions and the results obtained shows enriched performance.Index Terms-Advanced data communications, Home area networks, Interference, Smart meter, The 2.4GHz frequency band, Wi-Fi, ZigBee.

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Forward Error Correction based Encoding Technique for Cross-layer Multi Channel MAC protocol

Cited by 6 publications

References 21 publications

Load Aware Channel Estimation and Channel Scheduling for 2.4GHZ Frequency Band Based Wireless Networks for Smart Grid Applications

Load Aware Channel Estimation and Channel Scheduling for 2.4GHZ Frequency Band Based Wireless Networks for Smart Grid Applications

Cross‐layered energy optimization with MAC protocol based routing protocol in clustered wireless sensor network in internet of things applications

A Collaborative Framework for Avoiding Interference Between Zigbee and WiFi for Effective Smart Metering Applications

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