An energy-efficient multi-hop routing protocol based on grid clustering for wireless sensor networks

Huang, Jianhua; Hong, Yadong; Zhao, Ziming; Yuan, Yubo

doi:10.1007/s10586-017-0993-2

Cited by 56 publications

(28 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This research work was carried out by replicating the EEMRP of Huang et al, (2017). This is done by dividing the network area into grids, with each grid identified by a tuple (u,v) where the tuple represents the vth grid of the uth lane.…”

Section: Methodsmentioning

confidence: 99%

“…This will result in uneven distribution of energy load in the network. Huang et al, (2017) proposed an energy efficient multihop routing protocol (EEMRP) based on grid clustering to tackle the problem of unbalanced energy consumption of SNs. In the protocol, the network area was divided into unequal grids which formed different levels of clusters.…”

Section: Review Of Similar Workmentioning

confidence: 99%

“…A centralized CM election algorithm was used by the BS in selecting CM nodes based on a weight formula (Huang et al, 2017):…”

Section: Figure 1: Network Area Division Into Gridsmentioning

confidence: 99%

“…The distance threshold, d0, is as specified in the work of Huang et al, (2017) and is given by the equation (Huang et al, 2017):…”

Section: Figure 1: Network Area Division Into Gridsmentioning

confidence: 99%

See 3 more Smart Citations

A modified energy efficient multi-hop routing protocol in wireless sensor networks

Usman¹,

Dadah²,

Sani³

2019

Nig. J. Technol. Dev.

View full text Add to dashboard Cite

Energy efficient routing protocols in Wireless Sensor Networks (WSNs) is an important area of research due to energy limitations. It is therefore important to maximize the limited energy so as to increase the network lifetime of the WSN. In this paper, a modified energy efficient multi-hop routing protocol (mEEMRP) in a 200 m 2 field is presented. This protocol is based on a technique that involves balancing load between communication management (CM) nodes during the multi-hop routing of aggregated data to the base station (BS), where the residual energy (RE) levels of CM nodes are considered as well as the distance between neighboring CM nodes. Simulation results showed that mEEMRP yielded a 1.77% improvement over energy efficient multi-hop routing protocol (EEMRP) in terms of network lifetime. More so, the proposed mEEMRP also improved the energy consumption and the number of packets received at the BS by 4.83% and 7.41%, respectively.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Review Of Similar Workmentioning

confidence: 99%

“…A centralized CM election algorithm was used by the BS in selecting CM nodes based on a weight formula (Huang et al, 2017):…”

Section: Figure 1: Network Area Division Into Gridsmentioning

confidence: 99%

“…The distance threshold, d0, is as specified in the work of Huang et al, (2017) and is given by the equation (Huang et al, 2017):…”

Section: Figure 1: Network Area Division Into Gridsmentioning

confidence: 99%

See 2 more Smart Citations

A modified energy efficient multi-hop routing protocol in wireless sensor networks

Usman¹,

Dadah²,

Sani³

2019

Nig. J. Technol. Dev.

View full text Add to dashboard Cite

show abstract

“…In this survey classification of all the protocols in two sections, namely, single hop communication and multi-hop communication based on data transmission from the cluster head to the base station is done. Jianhua Huang et.al.in [12] proposed an energy-efficient multi-hop routing protocol based on grid clustering to prolong the network lifetime. In this the network area is divided into uneven grids to form clusters with differentLevels based on the distance from the cluster head.…”

Section: System Architecturementioning

confidence: 99%

Energy efficient multi hop cross layer design for large scale wireless sensor networks

2017

IJLTET

View full text Add to dashboard Cite

Energy‐efficient multihop routing in WSN using the hybrid optimization algorithm

Vinitha¹,

Rukmini

Sunehra³

2020

Int J Communication

View full text Add to dashboard Cite

SummaryThe technical growth in the field of the wireless sensor networks (WSNs) has resulted in the process of collecting and forwarding the massive data between the nodes, which was a major challenge to the WSNs as it is associated with greater energy loss and delay. This resulted in the establishment of a routing protocol for the optimal selection of the multipath to progress the routing in WSNs. This paper proposes an energy‐efficient routing in WSNs using the hybrid optimization algorithm, cat–salp swarm algorithm (C‐SSA), which chooses the optimal hops in progressing the routing. Initially, the cluster heads (CHs) are selected using the low‐energy adaptive clustering hierarchy (LEACH) protocol that minimizes the traffic in the network. The CHs are engaged in the multihop routing, and the selection of the optimal paths is based on the proposed hybrid optimization, which chooses the optimal hops based on the energy constraints, such as energy, delay, intercluster distance, intracluster distance, link lifetime, delay, and distance. The simulation results prove that the proposed routing protocol acquired minimal delay of 0.3165 with 50 nodes and two hops, maximal energy of 0.1521 with 50 nodes and three hops, maximal number of the alive nodes as 39 with 100 nodes and two hops, and average throughput of 0.9379 with 100 nodes and three hops.

show abstract

An energy-efficient multi-hop routing protocol based on grid clustering for wireless sensor networks

Cited by 56 publications

References 17 publications

A modified energy efficient multi-hop routing protocol in wireless sensor networks

A modified energy efficient multi-hop routing protocol in wireless sensor networks

Energy efficient multi hop cross layer design for large scale wireless sensor networks

Energy‐efficient multihop routing in WSN using the hybrid optimization algorithm

Contact Info

Product

Resources

About