Load Balanced Coverage with Graded Node Deployment in Wireless Sensor Networks

Chatterjee, Punyasha; Ghosh, S.; Das, Nabanita

doi:10.1109/tmscs.2017.2672553

Cited by 35 publications

(20 citation statements)

References 34 publications

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“…Delay aware load balancing technique was developed to reduce the wireless network adjournment and packet segregation errors. Through analyzing the traffic and packet flow to evaluate the sequence of the packet to be transmitted, this algorithm best suited for multi-path communication [15].…”

Section: Related Workmentioning

confidence: 99%

Improving the Energy Efficiency in Mobile Ad-Hoc Network Using Learning-Based Routing

Aroulanandam¹,

Latchoumi²,

Balamurugan³

et al. 2020

RIA

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Improving Mobile Ad-Hoc Network (MANET) performance is a tedious task because of the dynamic and uncertain characteristics of the nodes. MANET nodes connected to multiple applications that involve a high exchange of data. To add reliability to the application services, MANETs optimized through dedicated load balancing schemes. The Dynamic Range Clustering (DRC) algorithm associated with Learning-based Routing (LR) used in the present work to improve the energy efficiency and the nature of the network's data handling. DRC design focuses on selecting the head of the cluster and maintaining stability over the cluster. LR selects unique neighbors that assist in ensuring the efficient, non-congested communication of data exchange. An effort has made to combine the two incompatible methods to increase the performance of the network over differential network traffic. The proposed approach tested using simulations and measures output by comparative analysis.

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Section: Related Workmentioning

confidence: 99%

Improving the Energy Efficiency in Mobile Ad-Hoc Network Using Learning-Based Routing

Aroulanandam¹,

Latchoumi²,

Balamurugan³

et al. 2020

RIA

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“…Involvement of frequent clustering and re-clustering process increases time consumption as well as energy consumption. In static WSN, load balancing and energy efficiency were jointly concentrated by coverage constrained node distribution scheme [30]. Initially a topology graph was constructed for the network with homogeneous nodes.…”

Section: B Related Work On Mac Scheduling Protocolsmentioning

confidence: 99%

Novel Two-Fold Data Aggregation and MAC Scheduling to Support Energy Efficient Routing in Wireless Sensor Network

Pavani

Rao

2019

IEEE Access

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Network lifetime maximization is the primary challenge in the wireless sensor network (WSN) due to its resource limitations. E 2 R 2 routing algorithm uses a hierarchical WSN model to minimize energy consumption in the WSN. However, it increases complexity, time consumption, and energy consumption due to the hierarchical model. To resolve these problems, this paper proposes a novel ring partitioned based MAC (RP-MAC) protocol for the energy-efficient WSN with a mobile sink node. Energy efficiency is achieved by the following phases: clustering phase, MAC scheduling phase, data aggregation phase, and routing phase. Clustering phase is initiated by a weighted Voronoi diagram (WVD) algorithm by assigning a weight value for each node. Energy consumption due to idle listening is minimized by enabling novel RP-MAC scheduling in each cluster. Involvement of RP-MAC protocol also achieves collision-free data transmission in the network. A two-fold data aggregation (TFDA) scheme is proposed for the data aggregation phase to minimize energy consumption by reducing the number of transmissions. Routing phase supports both intra-cluster routing and inter-cluster routing. For intra-cluster routing, a hybrid chicken swarm optimization algorithm is proposed. For inter-cluster routing, position-based routing tree is constructed based on the sink node's position. Our proposed RP-MAC protocol minimizes energy consumption in all possible ways for improving the network lifetime. Extensive simulation in ns-3 shows that the RP-MAC protocol achieves promising results in the following performance metrics: the number of dead nodes, average energy consumption, network lifetime, and throughput.INDEX TERMS Voronoi diagram, data aggregation, MAC protocol, intra-cluster routing, inter-cluster routing, mobile sink.

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“…These sensors will continue moving until the accomplishment of harmony state, where attractive and repulsive powers are equivalent and consequently they wind up dropping one another. Grid points are utilized as a part of WSN, either to measure coverage or to decide sensors positions [9,12]. As a bit of WSN, Computational geometry(CG) can be used to illuminate coverage issue.…”

Section: Coverage Maintenance Approachmentioning

confidence: 99%

“…Early mesh network hubs had a solitary half-duplex radio that, at any one activity, could either transmit or get, yet not both meanwhile. This was consequently obsoleted by basic scope hardware that could get information from an upstream node and transmit information to a downstream node at the same time (on an alternate recurrence or an alternate CDMA channel) [12]. This permitted the advancement of switched mesh network.…”

Section: Deployment Strategymentioning

confidence: 99%

Sensor Deployment Strategy Based on Wireless Mesh Network for WSN

Kumar¹,

Tiwari²

2018

IJET

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Abstract:Wireless sensor systems include numerous sensors interconnected by means of radio connections. They are typically applied to cover vast zones to scrutinize and computerize tasks. Due to the battery consumption powered sensors, these arrangements have fleeting uptime, and frequently have issues like adaptability and bandwidth capacity. To dominate these issues, the vast mainstream of the implementation is constrained to expand the amount of sinks in network, or utilizations of gateways to request sensors data. Deployment of these system is made out of some low-control, modest nodes that coordinate detecting units, handsets, and preparing unit having remote communication capacities. This setup is conveyed in the focused on region for aggregating natural data that will be transmitted to a remote base station. In this paper, solutions for streamline deployment are investigated by amalgamation of Wireless sensor systems and Wireless mesh systems. Deployment of proposed mesh systems is accomplished in a versatile spine for sensor to sensor communication by interfacing them.

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Load Balanced Coverage with Graded Node Deployment in Wireless Sensor Networks

Cited by 35 publications

References 34 publications

Improving the Energy Efficiency in Mobile Ad-Hoc Network Using Learning-Based Routing

Improving the Energy Efficiency in Mobile Ad-Hoc Network Using Learning-Based Routing

Novel Two-Fold Data Aggregation and MAC Scheduling to Support Energy Efficient Routing in Wireless Sensor Network

Sensor Deployment Strategy Based on Wireless Mesh Network for WSN

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