2017
DOI: 10.1002/dac.3407
|View full text |Cite
|
Sign up to set email alerts
|

A new algorithm for cluster head selection in LEACH protocol for wireless sensor networks

Abstract: SummaryIn wireless sensor network, a large number of sensor nodes are distributed to cover a certain area. Sensor node is little in size with restricted processing power, memory, and limited battery life. Because of restricted battery power, wireless sensor network needs to broaden the system lifetime by reducing the energy consumption. A clustering-based protocols adapt the use of energy by giving a balance to all nodes to become a cluster head. In this paper, we concentrate on a recent hierarchical routing p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
93
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 156 publications
(93 citation statements)
references
References 28 publications
0
93
0
Order By: Relevance
“…The energy utilization of this dynamic CH selection scheme was considered to be improved by 32% compared with the K‐means and LEACH CH selection schemes. A node rank‐based cluster selection scheme was proposed for eliminating the issues that are most common in the process of random selection . This node rank‐based cluster selection scheme prevents unexpected failure of sensor nodes to a maximum degree, thus increases the energy utilization and lifetime of the sensor nodes.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The energy utilization of this dynamic CH selection scheme was considered to be improved by 32% compared with the K‐means and LEACH CH selection schemes. A node rank‐based cluster selection scheme was proposed for eliminating the issues that are most common in the process of random selection . This node rank‐based cluster selection scheme prevents unexpected failure of sensor nodes to a maximum degree, thus increases the energy utilization and lifetime of the sensor nodes.…”
Section: Related Workmentioning
confidence: 99%
“…A node rank-based cluster selection scheme was proposed for eliminating the issues that are most common in the process of random selection. 21 This node rank-based cluster selection scheme prevents unexpected failure of sensor nodes to a maximum degree, thus increases the energy utilization and lifetime of the sensor nodes. The node rank used for CH selection is computed using the reliability factor that combines the impact of link count and path cost.…”
Section: Related Workmentioning
confidence: 99%
“…At present, inspired by the characteristics of wireless sensor networks, a variety of routing protocols have been proposed. The routing protocols are mainly divided into two categories in terms of network topology: flat routing protocol and hierarchical routing protocol (Cluster routing protocol) . The details are described in Figure .…”
Section: Introductionmentioning
confidence: 99%
“…The routing protocols are mainly divided into two categories in terms of network topology 13 : flat routing protocol 14 and hierarchical routing protocol (Cluster routing protocol). 15 The details are described in Figure 1. LEACH, the first hierarchical wireless sensor routing protocol proposed by Heinzelman et al in 2000, 16 is a representative protocol in routing protocols.…”
mentioning
confidence: 99%
“…Tao et al 18 proposed an adaptive energy-aware multipath routing protocol with load balance (AEMRP-LB), by introducing a concept named direction-angle to overcome the deficiency of broadcast and takes into account the trade-off between the residual energy and hop count to establish multiple node-disjoint paths. Taking into account both path cost and number of links between nodes to select the cluster head of each cluster, Al-Baz and El-Sayed et al 19 proposed the improved leach to improve the total network lifetime. Taha et al 20 apply the fitness function to optimize the energy consumption in ad hoc on-demand multipath distance vector (AOMDV) 21 by taking energy consumption in account to improve the network performance.…”
Section: Introductionmentioning
confidence: 99%