Computing geometric median to locate the sink node with the aim of extending the lifetime of wireless sensor networks

Tamandani, Yahya Kord; Bokhari, Mohammad Ubaidullah; Kord, Mohammad Zarif

doi:10.1016/j.eij.2016.06.003

Cited by 9 publications

(7 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tamandani et al [16] proposed an algorithm that identifies the geometric median of all positions connected to the SN to place the BS within the network. They compared the optimal position of their algorithm with different positions, such as the field center, and their performance evaluation showed that the proposed position for the base station would extend the network life of the sensor nodes.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Most routing systems are designed to reduce energy consumption [39] without taking into account the importance of the location of the BS or which method is best to reduce energy use done by routing strategies GM [16]. Different from the above conservative models and to the best of our understanding, our paper model maximizes WSN lifetime by combining the optimization of the location of the BS and optimization of cluster head for clusters and additionally using a multi-hop data routing inside the cluster for reducing energy use in the cluster.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Optimizing the position of the BS was also found to reduce the effects of ill-positioned nodes [16]. Because the energy consumed by cluster heads to send data to the base station is dependent not only on the data bit rate but also on the physical distance between cluster heads and the base station, the location of the base station plays an essential role in the lifetime of wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

“…Electronics 2021, 10, 2760 3 of 20 Unlike in paper [16] and other different works that have conducted the optimization of the base station location, the main contributions and innovations of this paper include the following aspects: 1.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal Base Station Location for Network Lifetime Maximization in Wireless Sensor Network

2021

View full text Add to dashboard Cite

Wireless sensor networks have attracted worldwide attention in recent years. The failure of the nodes is caused by unequal energy dissipation. The reasons that cause unequal energy dissipation are, first and foremost, the distance between the nodes and the base station, and secondly, the distance between the nodes themselves. In wireless sensor networks, the location of the base station has a substantial impact on the network’s lifetime effectiveness. An improved genetic algorithm based on the crossover elitist conservation genetic algorithm (CECGA) is proposed to optimize the base station location, while for clustering, the K-medoids clustering (KMC) algorithm is used to determine optimal medoids among sensor nodes for choosing the appropriate cluster head. The idea is to decrease the communication distance between nodes and the cluster heads as well as the distance among nodes. For data routing, a multi-hop technique is used to transmit data from the nodes to the cluster head. Implementing an evolutionary algorithm for this optimization problem simplifies the problem with improved computational efficiency. The simulation results prove that the proposed algorithm performed better than compared algorithms by reducing the energy use of the network, which results in increasing the lifetime of the nodes, thereby improving the whole network.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Base Station Location for Network Lifetime Maximization in Wireless Sensor Network

2021

View full text Add to dashboard Cite

show abstract

“…This influences for the development of enhanced algorithms to control the responsibility distribution and increase the energy efficiency of nodes. Many researchers are continuously working in this area to improve network and nodes lifetime Mansourkiaia et al [26], Tamandani et al [27].…”

Section: Introductionmentioning

confidence: 99%

Ant Colony Based Mechanism for Increasing Life Time of Critical Nodes

Sandeep¹,

India²

2019

JESTR

View full text Add to dashboard Cite

MANET nodes act as a host as well as a router which increases the significance of every node for their participation in communication. Loss of any node in the network results in failure of links connected to the node which brings the importance of increased lifespan of a node. Some nodes during frequent transaction at critical network scenario consume more energy and become ill with critical energy level. Special attention towards these nodes can improve the lifespan of the node. In this paper an ant colony-based pheromone deposition mechanism was proposed to extend the lifetime of ill nodes. Pheromone deposited for the neighbor in the pheromone table helps in identifying frequently communicated neighbor. The proposed algorithm identifies the ill node and requests its frequently communicated neighbor for a tie up. The neighbor shares the workload of the ill node with mutual agreement. This method also improves the performance of a network by limiting pheromone deposition practice for low weighted nodes with low energy and high density (packet in queue). The proposed method increases lifespan of ill nodes and thereby increases the lifetime of entire network. The proposed work was also compared with existing protocol and the results have proved that the proposed mechanism has increased lifetime and reduced energy consumption of the entire network.

show abstract

RETRACTED ARTICLE: Intelligent Decision Making Algorithm for Balanced Cluster Formation in Wireless Sensor Networks

Kumar¹,

Rao

2021

Wireless Pers Commun

View full text Add to dashboard Cite

Computing geometric median to locate the sink node with the aim of extending the lifetime of wireless sensor networks

Cited by 9 publications

References 11 publications

Optimal Base Station Location for Network Lifetime Maximization in Wireless Sensor Network

Optimal Base Station Location for Network Lifetime Maximization in Wireless Sensor Network

Ant Colony Based Mechanism for Increasing Life Time of Critical Nodes

RETRACTED ARTICLE: Intelligent Decision Making Algorithm for Balanced Cluster Formation in Wireless Sensor Networks

Contact Info

Product

Resources

About