OPEN: Optimized Path Planning Algorithm with Energy Efficiency and Extending Network - Lifetime in WSN

Shah, Syed Bilal Hussain; Chen, Zhe; Yin, Fuliang

doi:10.20532/cit.2017.1003259

Cited by 17 publications

(6 citation statements)

References 20 publications

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“…Therefore, classification of aerial networks routing protocols is in the development phase; due to that, FANETs relay on traditional MANET routing protocols [ 5 , 6 ]. The OPEN routing protocol is a designed novel strategy which is based on (i) residual energy, (ii) node density, and (iii) distance from its neighbors; these metrics are used for electing cluster head (CH) [ 7 ]. In [ 8 ], authors tested the optimal ant-based distance protocol.…”

Section: Literature Surveymentioning

confidence: 99%

Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

Khan

Hassan

Alshehri

et al. 2021

Journal of Healthcare Engineering

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In recent decades, the Internet of flying networks has made significant progress. Several aerial vehicles communicate with one another to form flying ad hoc networks. Unmanned aerial vehicles perform a wide range of tasks that make life easier for humans. However, due to the high frequency of mobile flying vehicles, network problems such as packet loss, latency, and perhaps disrupted channel links arise, affecting data delivery. The use of UAV-enabled IoT in sports has changed the dynamics of tracking and working on player safety. WBAN can be merged with aerial vehicles to collect data regarding health and transfer it to a base station. Furthermore, the unbalanced energy usage of flying things will result in earlier mission failure and a rapid decline in network lifespan. This study describes the use of each UAV’s residual energy level to ensure a high level of safety using an ant-based routing technique called AntHocNet. In health care, the use of IoT-assisted aerial vehicles would increase operational performance, surveillance, and automation optimization to provide a smart application of flying IoT. Apart from that, aerial vehicles can be used in remote communication for treatment, medical equipment distribution, and telementoring. While comparing routing algorithms, simulation findings indicate that the proposed ant-based routing protocol is optimal.

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Section: Literature Surveymentioning

confidence: 99%

Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

Khan

Hassan

Alshehri

et al. 2021

Journal of Healthcare Engineering

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“…A distributed routing path planning algorithm [28] is proposed in WSN. The cluster heads are selected according to the timer value, computed based on residual energy, node's density, and average distance to neighbors.…”

Section: Related Workmentioning

confidence: 99%

“…A multi-path routing algorithm to transmit data from source nodes to BS is proposed [28].The algorithm is focused on the residual energy on the hop count to discover the optimized path, which is added to the routing table. The optimized path is based on ant colony optimization (ACO) [30].…”

Section: Related Workmentioning

confidence: 99%

Data Flow Optimization in the Internet of Things

Zannou

Boulaalam

Nfaoui

2022

Stat., optim. inf. comput.

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The Internet of Things (IoT) is constituted of an important number of constrained nodes limited in terms of power energy, computation capacity, storage capacity. They produce a considerable amount of data, which increases the data flflow in the network. The ineffificient transmission of data via constrained nodes makes the network unstable, the energy consumption increases rapidly, and the data delay increases strictly. To overcome these limitations, we propose a new approach that allows nodes to select the effificient path to transmit data from source nodes to base stations (BSs) to optimize the data flflow in the constrained network. First, we grouped nodes using a density peaks (DP) clustering algorithm based on the coordinate’s location of these nodes. Second, using the group nodes, the assignment of nodes to BSs that are considered as the collectors of data is performed. Third, the nodes make a dynamic and automated path plan to optimize the data flflow in the constrained network. Simulation results on a real network data set demonstrate that our proposal outperforms the state-of-the-art approaches in terms of the number of hops to achieve the cluster head (CH) node, the data delay, the network lifetime, and the number of the alive nodes.

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“…Shah et al (2017) proposed the DEEG (A routing protocol for enhanced efficiency in wireless sensor networks) protocol, which takes into account the residual energy of the node, and communicates through the routing between the different clusters, thus effectively reducing the consumption of the communication energy between the clusters. Then, they improved DEEG and proposed the EADEEG protocol, which uses the best radius to cluster, and improves the routing between clusters with energy, which arrives at the number of rounds that postpone the node death of WSN [7]. Gupta et al (2016) put forward a non-uniform clustering algorithm EEUC (An Uneven Cluster-Based Routing Protocol for Wireless Sensor Networks).…”

Section: Literature Reviewmentioning

confidence: 99%

Clustering Routing Protocol for Mobile Wireless Sensor Networks Based on Dynamic Network Partition

Cao¹

2018

Int. J. Onl. Eng.

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<p class="0abstract"><span lang="EN-US">To prolong the network life and improve the network performance, a new clustering routing protocol which uses dynamic network to divide and consider the residual energy of sensor nodes is proposed. The design and simulation of the clustering scheme for mobile wireless sensor networks are also studied. The results show that the protocol controls the number of cluster heads by region division of the network and balances its distribution in wireless sensor networks according to the latest location of the sink node. At the same time, the residual energy of nodes is considered to balance the energy consumption of the network when the cluster head is elected. The protocol effectively solves the problem of uneven distribution of cluster heads in time and space and energy consumption of each node in the LEACH protocol. Compared with the LEACH protocol, M-LEACH effectively prolongs the network life. From this, it is seen that the application of M-LEACH protocol in mobile wireless sensor network clustering routing is effective.</span></p>

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OPEN: Optimized Path Planning Algorithm with Energy Efficiency and Extending Network - Lifetime in WSN

Cited by 17 publications

References 20 publications

Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

Data Flow Optimization in the Internet of Things

Clustering Routing Protocol for Mobile Wireless Sensor Networks Based on Dynamic Network Partition

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