Mobile sink-based energy efficient cluster head selection strategy for wireless sensor networks

Chauhan, Vinith; Soni, Surender Kumar

doi:10.1007/s12652-019-01509-6

Cited by 57 publications

(33 citation statements)

References 25 publications

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“…The model achieves better energy efficiency, reduces delay, and reduces packet loss ratio. Other studies [32][33][34] addressed two critical issues of data dissemination in delay tolerant WSNs such as buffer management and routing design. Here they presented a distance and energy-aware routing design employing fuzzy-logic for delay tolerant WSNs.…”

Section: Related Workmentioning

confidence: 99%

REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications

Nayagi

Sivasankari

Ravi

et al. 2021

Int J Communication

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Summary Machine‐type communication (MTC) such as device‐to‐device and machine‐to‐machine communication is a technology used to realize the concept of Internet of things (IoT). The fifth generation (5G) IoT is composed of large density of wireless sensor device. The massive roll out of the MTC devices is a serious challenge for wireless communication networks from operational and management perspective, including massive access, route selection, energy efficiency and network congestion. Many proposals have been put forward by the research community to cater to the issues and difficulties of massive MTC (mMTC) access in large density sensor network‐enabled IoT communication environment. Recently, data aggregation with efficient route selection has attracted a lot of research attention owing to its robust ability to resolve the above‐mentioned challenges. Existing data routing and aggregation methodologies are not efficient when adopted to heterogeneous IoT applications as they fail to bring trade‐off between energy efficiency and latency minimization. This research work proposes reliable and energy‐efficient route selection (REERS) scheme to reduce energy dissipation and latency for catering both real‐time and non‐real‐time applications. Experiment outcomes shows the REERS schemes achieves much superior performance than existing routing and aggregation methodologies over latency reduction and energy efficiency.

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Section: Related Workmentioning

confidence: 99%

REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications

Nayagi

Sivasankari

Ravi

et al. 2021

Int J Communication

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show abstract

“…Due to the limited self-energy of sensor nodes, the network poses a communication overhead problem [16]. As the nodes in WSN have limited energy capability and the nodes are located in harsh ambiance, hence it is difficult to recharge or replace the node's battery [18]. In the case of the static sink, the sink mobility poses a great challenge, as tracking the mobile sink in the area of sensing is hard to achieve.…”

Section: Challengesmentioning

confidence: 99%

Optimal Placement of Mobile Sink in Wireless Sensor Network Using AdjacencyBased Cell Score Factor

AR¹,

Chakravarthi²

2021

IJIES

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Wireless sensor network (WSN) employs the mobile sink to collect the information from the sensor nodes that are deployed in the network environment in such a way to reduce the energy hole issues. However, the placement of mobile sinks optimally in the network without degrading network lifetime result in a great challenge. Thus, the adjacency-based cell score factor is adopted in this research in order to place the mobile sink optimally in WSN. Here, the network is transformed into the cell using the Voronoi transformation. For each uniform-sized cell, the cluster head (CH) is selected using Sparse-Fuzzy C-means clustering. The optimal placement of the mobile sink is carried out using the adjacency-based cell score, which effectively places the mobile sink using the constrained factors, such as energy, Euclidean distance, and fairness. The proposed adjacency-based cell score obtained better performance with a minimal distance of 22.4615m, maximal energy, fairness, network lifetime, and throughput of 97.2182, 92.6064, 145, and 95.8852, respectively, while considering 400 nodes.

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“…Additionally, Chauhan and Soni 28 proposed a novel strategy for wireless networks of sensor based on a mobile sink, which were energy-aware cluster head selector. The paper mainly aimed at heightening the lifespan of the network by shedding light on a solution to the energy holes issue.…”

Section: Related Workmentioning

confidence: 99%

Sink selection and clustering using fuzzy‐based controller for wireless sensor networks

Shahidinejad

Barshandeh

2020

Int J Communication

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Summary Applying multiple sink nodes in a large‐scale wireless sensor networks (WSN) can increase the scalability and lifetime of the network. The current sink selection mechanisms assume an unlimited amount of buffer and bandwidth for the sink nodes. This can be problematic in real‐world applications, especially when many cluster heads select a specific sink node and send their data to the sink at the same time. In this situation, the sink node may not have enough buffer to receive and process data; consequently, some packets are dropped. To mitigate these occasions, a fuzzy‐based controller with reduced rules is proposed for sink selection by considering the capacity of the sink nodes. The capacity of the sink nodes is estimated using the long short‐term memory (LSTM) technique. Then another fuzzy‐based controller with reduced rules is designed to select the cluster head. The fuzzy rules are reduced by employing R‐implications method. Reducing the number of fuzzy rules decreases the complexity of the fuzzy controllers. The results show the efficiency of the proposed sink selection and clustering techniques in terms of consumed energy, remaining energy, first node dead (FND), half nodes dead (HND), last node dead (LND), packet loss, and delay.

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Mobile sink-based energy efficient cluster head selection strategy for wireless sensor networks

Cited by 57 publications

References 25 publications

REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications

REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications

Optimal Placement of Mobile Sink in Wireless Sensor Network Using AdjacencyBased Cell Score Factor

Sink selection and clustering using fuzzy‐based controller for wireless sensor networks

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