Energy-Aware Routing Algorithm for Wireless Sensor Networks with Optimal Relay Detecting

Feng, Li; Wang, Li

doi:10.1007/s11277-017-4940-6

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…Usually, a specific solution is proposed for the path's creation through the network. For example, in the distributed energy-efficient zonal relay node-based secure routing protocol (DEZMSR) [26], a relay node is selected based on zone radius by means of a division in two kinds of nodes, namely zonal and district relay nodes; other examples include using load balance [27], using comparison rules such as the Cauchy inequation [28] between energy used and routing distance, employing a specific hierarchy in the cluster deployment [29], and using a weighted product model (WPM) [30], among many others.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process

Pabani

Luque-Nieto

Hyder³

et al. 2022

Sensors

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The use of underwater sensor networks (UWSNs) offers great advantages in many automatic observation services such as water monitoring (ocean, sea, etc.) and registering of geological events (landslides, earthquakes). However, UWSNs have many more limitations than terrestrial sensor networks (smaller bandwidth, higher delays, etc.) with new requirements such as low power consumption by nodes or being able to select appropriate routes in a dynamic topology due to water currents and movements. To cope with these problems, the use of a routing protocol is very important. In this paper we propose a routing technique that adapts to changes in the network topology, avoiding multiple retransmissions that would affect its overall performance. This protocol is energy-efficient and is implemented using a fuzzy analytical hierarchical process (FAHP) under multi-criteria decision making (MCDM) to make an intelligent routing decision based on objectives, criteria and alternatives. To select the next node on the route, several comparison matrices are used: number of hops, distances to the sink node, and number of neighbors. The results show that the proposed setup behaves similarly to other existing underwater sensor network routing schemes using fuzzy schemes such as SPRINT.

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Section: Related Workmentioning

confidence: 99%

Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process

Pabani

Luque-Nieto

Hyder³

et al. 2022

Sensors

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“…WSN has a set of constraints like energy, topology, & SN bandwidth, which are evaluated using transmission protocols [4]. Cluster-based multi-hop routing algorithms are used in WSNs with the concept of constraint control.…”

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confidence: 99%

To Extend Network Lifespan Despite an Increase in Network Size Using Bio Inspired Crow Search Optimization Technique

Journal¹

2022

IJSREM

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Wireless sensor network (WSN) is a multi-hop self-organizing system that is composed of a large number of sensor nodes. A node is any point within a CH, which could be any point. With the energy usage nature of wireless sensors, clustering is an effectual way to address energy usage difficulties. It is the criterion by which the total price, the number of necessary cluster heads for optimal system utilization, as well as the durability of the system; as a result, it is widespread used in WSN applications. A form of optimization method, met heuristic processes, use a tradeoff of randomization and local search. The Crow New Algorithm is one of many nature-inspired meta - heuristic algorithms (CSA). Using bioinspired methods, optimize the cluster head as well as congregation node requirements. To put the suggested method in MATLAB for a 100-node network. Try comparing the current and proposed techniques for a simulation of 100 nodes based on the amount of alive nodes, the number of dead nodes, the amount of packet delivery to the base station, as well as the platform's residual energy. Keywords: WSN, Clustering, LEACH, Crow Search optimization

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DECSA: hybrid dolphin echolocation and crow search optimization for cluster-based energy-aware routing in WSN

Mahesh¹,

Vijayachitra²

2018

Neural Comput & Applic

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Energy-Aware Routing Algorithm for Wireless Sensor Networks with Optimal Relay Detecting

Cited by 7 publications

References 24 publications

Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process

Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process

To Extend Network Lifespan Despite an Increase in Network Size Using Bio Inspired Crow Search Optimization Technique

DECSA: hybrid dolphin echolocation and crow search optimization for cluster-based energy-aware routing in WSN

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