An energy balanced geo-cluster head set based multi-hop routing for wireless sensor networks

Akila, I.S.; Venkatesan, Ramarathnam

doi:10.1007/s10586-018-1724-z

Cited by 19 publications

(7 citation statements)

References 15 publications

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“…An ant colony optimization based on energy efficiency and balancing of distance for increasing the network lifetime in given in [27]. A zonal clustering algorithm wherein two separate CH nodes for intra and inter cluster communication is proposed in [28]. The CH for intra-cluster communication is known as primary CH, whereas inter cluster communication node is known as backup CH.…”

Section: Literature Reviewmentioning

confidence: 99%

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

et al. 2022

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Energy minimization is one of the paramount issues in designing of the wireless sensor network and becomes more complex for multi-hop transmission. Furthermore, selection of multi hop route for the packets transmission is also a tedious task. In this paper, we propose an intra-cluster and inter-cluster (ICIC) energy minimization strategy for multihop wireless sensor network (WSN). In the proposed strategy, in intra cluster communication, a dynamic duty cycle allocation based on the cluster head (CH) node distance from the child nodes for the energy minimization is presented. In the inter cluster communication, minimum energy consumption route is chosen for the transmission of packets to base station (BS). The proposed strategy is compared with four state of the art techniques i.e., HEEMP, LEACH, MLEACH, and SEP protocols of clustering. The evaluation of the proposed and existing strategies is done in two different scenarios i.e., number of round and number of nodes. Results of the simulation show that the proposed strategy transmits more packets and has lower number of dead nodes than other strategies. Furthermore, proposed strategy utilizes more network energy and more energy for relaying.

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Section: Literature Reviewmentioning

confidence: 99%

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

et al. 2022

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“…Simulation result show that the proposed DCFM approach performs better result than LEACH algorithm. Akila and Venkatesan [9] proposed a geo-cluster head set approach to address the hot-spot problem in WSNs. A geo-cluster head set method handles the hot-spot problem and the load is balanced between the sensor nodes of the network in terms of enhance the network's lifespan.…”

Section: Related Workmentioning

confidence: 99%

Zone Head Selection Algorithm Based on Fuzzy Logic for Wireless Sensor Networks

Garg¹,

Kaur²

2021

JUSST

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Clustering extends energy resources, improves scalability and preserves communication bandwidth of the network. Clustering is either categorized as static and dynamic or as equal and unequal. Hot-spots issue needs a high overhead and is prone to connectivity problems in the wireless sensor network and this can be only possible because of unequal clustering. In this paper a zone divisional method based on fuzzy logic has been proposed. This method uses a fuzzy logic to form clusters and allot nodes to them for the reduction of energy consumption, and extends the age of the sensor network. The simulation and results section shows that the outperformance of the proposed algorithm, where the (EAUCF) energy-aware unequal clustering fuzzy, (LEACH) lowenergy adaptive clustering hierarchy, (EAMMH) energy-aware multi-hop multi-path hierarchical, and (TTDFP) two-tier distributed fuzzy logic-based protocol for efficient data aggregation in multi-hop wireless sensor networks algorithms. The proposed algorithm has better results in terms of energy consumption minimization, load balancing, and prolongation of the network lifetime.

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“…As a result, routing methods must be more adaptable and effective. Learning-based routing systems [12] with their advantages of great flexibility and accuracy are emerging as the potential candidate solutions to address in the urgent basis. These approaches can be categorized into two groups: centralized and distributed, each of which benefits from higher precision and higher efficiency.…”

Section: Introductionmentioning

confidence: 99%

Energy aware Cluster based Routing Algorithm for Optimal Routing and Fault Tolerance in Wireless Sensor Networks

Gorikapudi¹,

Kondaveeti²

2023

Preprint

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In order to prevent the overloading, the routing algorithm aids in building productive paths both within and between clusters. When sending information from the source IoT device to a base station, not all IoT devices are utilized in the path. We introduced an energy aware cluster-based routing in this paper, in which Improved Fuzzy C-means model plays a major role in clustering initially. Meanwhile, the clustering procedure considers the factors like energy and distance. Subsequent to the clustering process, optimal routing will be takes place by a new hybrid optimization algorithm named Custom Honey Badger and Coot Optimization (CHBCO) that combines the models like Honey badger optimization and Coot optimization model, respectively. For routing, the model considers the constraints like Energy as well as link quality. Also, this model establishes the fault tolerance method, which ensures that the network will continue to operate normally even in the situation of a CH failure. During this, the cluster members switch to another CH. The performance of proposed CHBCO based routing model is compared over existing models with respect to convergence rate, distance evaluation, energy, alive nodes, distance, normalized energy and link quality under five scenarios such as 100, 500, 1000, 1500, and 2000. Moreover, the proposed model obtained 56 alive nodes in the round 1500 for scenario 1(i.e node 100). Also in the round 1500, the CHBCO model obtain a minimum distance as 25 however the existing models achieve higher distance like EHO as 50, HHO as 70, COOT as 40, HBA as 60, MFO as 75, DCPSO as 150, and HGS as 85 for the node setup 1000. The proposed method achieve a better normalized energy as 0.29 in the 2000 round along with node setup 100, while the conventional models reach the lowest normalized energy. Moreover, the CHBCO method fine link quality values such as 0.96, 0.96, 0.95, 0.97, and 0.97 at the node setups of 100, 500, 1000, 1500, 2000 respectively.

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An energy balanced geo-cluster head set based multi-hop routing for wireless sensor networks

Cited by 19 publications

References 15 publications

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

Zone Head Selection Algorithm Based on Fuzzy Logic for Wireless Sensor Networks

Energy aware Cluster based Routing Algorithm for Optimal Routing and Fault Tolerance in Wireless Sensor Networks

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