NHCDRA: a non-uniform hierarchical clustering with dynamic route adjustment for mobile sink based heterogeneous wireless sensor networks

Jain, Shushant Kumar; Venkatadari, M.; Shrivastava, Neeraj; Jain, Shubhra; Verma, Rahul Kumar

doi:10.1007/s11276-021-02585-3

Cited by 13 publications

(4 citation statements)

References 29 publications

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“…Optimization in this controlled MS mobility is complex, but this model outperforms random and predictive mobility models. NHCDRA [20] considers the corresponding scope of SNs and the radius of the sensor field based on EECDRA [19], constructs uneven clusters, and picks CHs based upon residual energy and distance from the cluster. For heterogeneous static SNs, two movable sinks are deployed to travel around the rim of the sensor area.…”

Section: Related Workmentioning

confidence: 99%

“…To further address the hotpot problem of the early demise of nodes near the sink attributable to excessive energy expenditure, a mobile sink (MS) is introduced, which is considered an orthogonal method. The MS can maximize the lifecycle of WSNs [17][18][19][20] by collecting data over shorter communication distances. Most current hierarchical routing protocols [17,18,21,22] use a single MS to collect data from SNs.…”

Section: Introductionmentioning

confidence: 99%

“…the mobile latency of the MS will account for a large proportion of the time delay, which is not applicable for scenarios with high time delay requirements. To address this problem, some studies [19,20] have dispersed and reduced the network's centralized transmission load by introducing multiple MSs in the MWSN. However, the planning problem of multiple MSs collaborating to collect network data is still challenging.…”

Section: Introductionmentioning

confidence: 99%

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MMSCM: A multiple mobile sinks coverage maximization based hierarchical routing protocol for mobile wireless sensor networks

Guo

2023

IET Communications

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Mobile wireless sensor network (MWSN) adapts to the requirements of mobility of civil and military network devices and has received a lot of attention. Designing an efficient, low‐energy, and fault‐tolerant routing protocol for the frequently changing topology of highly mobile MWSNs is challenging. Most routing protocols today only support the movement of sensor nodes or only sink. This paper proposes a Multiple Mobile Sinks Coverage Maximization based hierarchical routing protocol for mobile wireless sensor networks (MMSCM), which allows sensor nodes and sinks to move simultaneously. The MMSCM divides the monitoring area into virtual grids and deploys a movable sink in each grid cell. Sink selects the appropriate next hop for each cluster head in the area to build an optimal routing forest and collects data from all routing tree root nodes at a uniform speed along the specified path with maximum coverage. Simulation results show that, compared with current advanced routing algorithms, the MMSCM protocol can better solve the network delay problem and improve data throughput while extending the network life cycle, which is more suitable for time‐sensitive application scenarios.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MMSCM: A multiple mobile sinks coverage maximization based hierarchical routing protocol for mobile wireless sensor networks

Guo

2023

IET Communications

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“…Therefore, the data traffic does not put a burden on a specific set of sensor nodes, which was the case in the static sink. Mobile sink can accumulate the data from the sensor network by following any of the three mobility patterns: random [11], fixed [12], and controlled [13,14]. The sink mobility pattern depends on application requirements and surrounding environments.…”

Section: Introductionmentioning

confidence: 99%

Virtual Grid-Based Routing for Query-Driven Wireless Sensor Networks

Jain,

Bhatia,

Shrivastava

et al. 2023

Future Internet

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In the context of query-driven wireless sensor networks (WSNs), a unique scenario arises where sensor nodes are solicited by a base station, also known as a sink, based on specific areas of interest (AoIs). Upon receiving a query, designated sensor nodes are tasked with transmitting their data to the sink. However, the routing of these queries from the sink to the sensor nodes becomes intricate when the sink is mobile. The sink’s movement after issuing a query can potentially disrupt the performance of data delivery. To address these challenges, we have proposed an innovative approach called Query-driven Virtual Grid-based Routing Protocol (VGRQ), aiming to enhance energy efficiency and reduce data delivery delays. In VGRQ, we construct a grid consisting of square-shaped virtual cells, with the number of cells matching the count of sensor nodes. Each cell designates a specific node as the cell header (CH), and these CHs establish connections with each other to form a chain-like structure. This chain serves two primary purposes: sharing the mobile sink’s location information and facilitating the transmission of queries to the AoI as well as data to the sink. By employing the VGRQ approach, we seek to optimize the performance of query-driven WSNs. It enhances energy utilization and reduces data delivery delays. Additionally, VGRQ results in ≈10% and ≈27% improvement in energy consumption when compared with QRRP and QDVGDD, respectively.

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Tangent sine search optimization enabled energy prediction and SWIPT‐based power transfer for energy‐aware communication in WSN

Masilamani,

Krishnan,

Singh

et al. 2024

Int J Communication

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SummaryWith the rapid increase in energy utilization and the tremendously growing number of connected devices in wireless sensor networks (WSNs), alternate power transfer methods have not only become significant for scholastic purposes but also the growth of WSNs and the reduction of operational costs. Simultaneous wireless information and power transfer (SWIPT) is an emerging technology that has the potential to boost the lifespan of WSNs. This work presents an innovative approach to improving the energy efficiency of WSNs. Here, a WSN is considered, and energy‐aware communication is established in six phases, such as setup, steady state, energy prediction, SWIPT‐based power transfer, communication/route discovery, and route maintenance. Further, a hybrid approach named tangent sine search optimization (TSSO) is created to identify the ideal node as cluster head (CH). Later, the age of the neighboring nodes is forecasted utilizing the deep long short‐term memory (DLSTM), whose trainable parameters are selected using the proposed TSSO algorithm. A SWIPT‐based power transfer is also performed for harvesting the energy to avoid node failures. The proposed TSSO‐DLSTM+SWIPT is investigated given various metrics, like delay, residual energy, throughput, and trust, and the values attained are 0.784 s, 0.790 J, 0.970 Mbps, and 0.997, respectively without any attacks. The proposed TSSO‐DLSTM+SWIPT obtained performance improvement of 11.08%, 10.07%, 7.99%, and 5.83% than the Iterative algorithm in terms of delay, residual energy, throughput, and trust.

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NHCDRA: a non-uniform hierarchical clustering with dynamic route adjustment for mobile sink based heterogeneous wireless sensor networks

Cited by 13 publications

References 29 publications

MMSCM: A multiple mobile sinks coverage maximization based hierarchical routing protocol for mobile wireless sensor networks

MMSCM: A multiple mobile sinks coverage maximization based hierarchical routing protocol for mobile wireless sensor networks

Virtual Grid-Based Routing for Query-Driven Wireless Sensor Networks

Tangent sine search optimization enabled energy prediction and SWIPT‐based power transfer for energy‐aware communication in WSN

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