Energy Efficient Energy Hole Repelling (EEEHR) Algorithm for Delay Tolerant Wireless Sensor Network

Prabha, K. Lakshmi; Selvan, S.

doi:10.1007/s11277-018-5768-4

Cited by 14 publications

(5 citation statements)

References 20 publications

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“…In order to reduce energy consumption and prolong network lifetime, Prabha et al. [17] proposed the energy efficient energy hole repulsion (EEEHR) routing algorithm. The algorithm formed smaller clusters near the receiver, and used nodes farther away from the receiver to make clusters of larger size.…”

Section: Related Workmentioning

confidence: 99%

Clustered DTN routing based on sensing node relationship strength

Chen,

2024

IET Communications

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Delay tolerant networks (DTNs) is a network evolved from mobile networks. Differing from the traditional network, which has a stable end‐to‐end transmission path, DTNs are sparse and intermittently connected mobile ad hoc network, which are widely used in harsh environments, such as battlefields, seabed, space communication networks, and so on. In DTNs, intermittent connectivity, partitioned network, long delays and node mobility characteristics make the network fail to communicate frequently, therefore, how to successfully forward the message is of extreme importance. Up to now, almost all the traditional models in DTNs use the store‐carry‐forward method. This paper proposes a novel clustered DTN routing model based on sensing node relationship strength. The routing mechanism takes advantage of the number of other nodes encountered by the nodes in the process of movement and the changes in the number of nodes to calculate the strength of the relationship between nodes, and clusters DTN routing according to the strength of the relationship between nodes. Moreover, the relationship between nodes in a cluster and other clusters is used to transmit messages between clusters, and messages are transmitted within clusters according to the strength of the relationship between nodes. Simulation results show that the routing mechanism not only increases the success rate of message transmission, but also reduces the transmission delay of messages and improves network performance.

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Section: Related Workmentioning

confidence: 99%

Clustered DTN routing based on sensing node relationship strength

Chen,

2024

IET Communications

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“…Prabha and Selvan 33 presented a method based on the unequal size of clustering among which small clusters are located around the sink and larger ones are formed far away from the sink. While doing so, the authors proposed to save a lot of energy of the nodes.…”

Section: Literature Surveymentioning

confidence: 99%

A novel dynamic clustering approach for energy hole mitigation in Internet of Things‐based wireless sensor network

Dogra

Rani

Sharma

et al. 2021

Int J Communication

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Summary With the advancements in the technology, Internet of Things (IoT)‐based wireless sensor networks (WSNs) have shown a tremendous growth in rendering a huge number of applications across the globe. However, it is observed that IoT‐based sensor nodes suffer from energy limitations. To resolve this, cluster‐based topology is adapted by the various researchers for rendering green energy‐efficient solution for communication of IoT devices. In this paper, the dynamic and energy‐efficient clustering for energy hole mitigation (DECEM) is proposed. The proposed framework is composed of the following proposed attributes; network is divided in two halves of regions, in each half, a gateway node (GN) is selected that collects data from their corresponding half region. Further, in each cluster, two cluster heads (CHs) are selected among whom one is made active at a moment (remains active until 60% of its energy is consumed) and other stays in sleep mode. First, the GN is selected in each side of the network (divided into two halves), and later, clustering is done, and selection of two CHs in each cluster is performed. The parameters for the selection of GN and CHs include residual energy, separation between the node and the sink, the number of neighbour nodes and network's residual energy. The simulation experiments reveal that DECEM has enhanced stability period by 5% and 31% as compared to the MEEC and IDHR protocols, respectively. The network lifetime is gigantically improved by 56% as compared to MEEC protocol.

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“…Moreover, count of Cluster Member (CM) for a cluster is undefined. [9] developed energy hole repelling approach where the sensor nodes placed nearby the sink develops tiny clusters while nodes placed away sink BS makes huge clusters. [10] deployed an Energy Efficient Unequal Chain Length Clustering (EEUCLC) protocol to resolve the energy hole issues by making UC inside a cluster.…”

Section: Literature Surveymentioning

confidence: 99%

Mitigating Energy Hole based Routing Algorithm for Wireless Sensor Networks

Amaran¹,

Mohan²,

R.³

2021

INDJCSE

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In wireless sensor networks (WSN), the energy hole problem needs to be resolved to considerably improve the network lifetime. This paper presents an efficient Mitigating Energy Hole based routing algorithm (MEHRA) for WSN. Initially, the network initialization process takes place where the entire network is partitioned into few regions and is again divided into sectors with respect to equiangular wedges. During the partitioning of the network into regions and wedges, Head Node (HN) will be chosen for all sectors regarding distance and energy. Besides, the sensor nodes in a provided sector form a chain to communicate with their HN. The construction of chain process has begun from the farther node in the HN and all nodes will choose their chain neighboring by the execution of greedy algorithm. The HN collects the data in its predecessor and its individual sector and transmits the aggregated data to its successor HN till it reaches the BS. An extensive set of experimental analysis was carried out to highlight the supremacy of the MEHRA technique. The obtained simulation outcome ensured the goodness of the MEHRA technique interms of distinct aspects.

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Energy Efficient Energy Hole Repelling (EEEHR) Algorithm for Delay Tolerant Wireless Sensor Network

Cited by 14 publications

References 20 publications

Clustered DTN routing based on sensing node relationship strength

Clustered DTN routing based on sensing node relationship strength

A novel dynamic clustering approach for energy hole mitigation in Internet of Things‐based wireless sensor network

Mitigating Energy Hole based Routing Algorithm for Wireless Sensor Networks

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