Effect of Clock Skew in Event Driven, Delay Constrained Heterogeneous WSN with Anycast

Sadhukhan, Debanjan; Rao, S. Venugopal

doi:10.1007/s11277-017-4760-8

Cited by 6 publications

(3 citation statements)

References 25 publications

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“…Maximum signal-to-noise ratio (Max SNR) based routing scheme was deployed in energy harvesting WSN. 27 Here, multihop communication was adapted for data transmission. But this method is computationally rich and involves with multiple formulations.…”

Section: Cluster Based Routing In Wsnmentioning

confidence: 99%

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An energy aware cluster‐based routing and adaptive semi‐synchronized MAC for energy harvesting WSN

Pavani

Kumar

Polipalli

2022

Int J Communication

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Medium access control (MAC) layer scheduling is an intelligent solution to protract the lifetime of energy harvesting wireless sensor network (WSN) which is challenging issue in recent times. Self‐adaptive MAC protocol was working upon reinforcement learning. However, this decentralized adaptive scheduling introduces collisions and degrades the overall network performance. To fix this problem, this paper proposes novel semi‐synchronized MAC approach for energy harvesting WSN. The major objective of this work is to improve energy efficiency of the network by minimizing energy consumption which is the major issue in WSN. Proposed WSN network is modeled with dual mobile sinks with circular moving path and static sensor nodes to monitor the environment. Our novel MAC approach is initiated with unequal cluster formation by correlation based unequal clustering scheme in which multi‐objective elephant herding optimization (CUC‐MEHO) algorithm is incorporated for cluster head (CH) selection. In clustered network, all sensor nodes follow semi‐synchronized adaptive active period MAC scheduling (S2A2MAC) protocol. In this work, S2A2MAC operates upon hidden Markov model (HMM) which controls the active time period of a node in an adaptive manner. Energy efficient hop‐by‐hop intra‐cluster routing is empowered by Bayes rule enabled perfect matching (BR‐PM) algorithm. Before route selection, all candidate nodes are regarded into perfect match, partially match, and no match nodes. Furthermore, emergency data is identified by CH based on flag value and transmitted without any time delay. For emergency data transmission, extremity aware routing (EAR) algorithm is presented and EAR algorithm is functioning on hopcount and distance criteria. Finally, proposed network is evaluated by extensive simulations in NS‐3.26. Simulation upshots show better performance in percentage of dead nodes, network lifetime, energy consumption, PDR, and delay.

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Section: Cluster Based Routing In Wsnmentioning

confidence: 99%

“…However, involvement of ABC algorithm slows down the process of clustering and cluster formation based on distance metric fails to improve data aggregation. Maximum signal‐to‐noise ratio (Max SNR) based routing scheme was deployed in energy harvesting WSN 27 . Here, multihop communication was adapted for data transmission.…”

Section: Related Workmentioning

confidence: 99%

An energy aware cluster‐based routing and adaptive semi‐synchronized MAC for energy harvesting WSN

Pavani

Kumar

Polipalli

2022

Int J Communication

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show abstract

“…However, sink node position update is broadcast to all downstream cell headers that tend to increase in energy consumption. Debanjan et al [34] proposed clock skew‐based delay constrained scheduling (CSDCS) for WSN. The CSDCS method increases the wakeup rate to reduce delay that leads to increase in energy consumption of each sensor node, which diminishes network lifetime.…”

Section: Problem Definitionmentioning

confidence: 99%

Pair‐based sink relocation and route adjustment in mobile sink WSN integrated IoT

Thiruchelvi¹,

Karthikeyan²

2020

IET Communications

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A Novel Particle Filtering Data Acquisition Algorithm Integrating Random Time-lag and Packet Loss Compensation

Hu¹,

Zhu

2021

Advances in Intelligent Systems and Computing

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Effect of Clock Skew in Event Driven, Delay Constrained Heterogeneous WSN with Anycast

Cited by 6 publications

References 25 publications

An energy aware cluster‐based routing and adaptive semi‐synchronized MAC for energy harvesting WSN

An energy aware cluster‐based routing and adaptive semi‐synchronized MAC for energy harvesting WSN

Pair‐based sink relocation and route adjustment in mobile sink WSN integrated IoT

A Novel Particle Filtering Data Acquisition Algorithm Integrating Random Time-lag and Packet Loss Compensation

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