Energy-Efficient Routing Protocols for Wireless Sensor Networks: Architectures, Strategies, and Performance

Behera, Trupti Mayee; Samal, Umesh Chandra; Mohapatra, Sushanta Kumar; Khan, Mohammad S.; Appasani, Bhargav; Bizon, Nicu; Thounthong, Phatiphat

doi:10.3390/electronics11152282

Cited by 63 publications

(22 citation statements)

References 111 publications

(130 reference statements)

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“…In a simple way of understanding, the data collection of node A intended for node K, where node K reacts to the data received from node A, and the happening of communication between the nodes creates the simplest path. Many algorithms like particle swarm optimization, intelligent opportunistic routing protocol (IOP) (6) also protocols AODV, DSDV, and DSR (7,8) routing protocol, etc.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Shilpa¹,

Chetan²,

Anand³

2023

IJST

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Objectives: To improve the energy efficiency in IoT-based wireless sensor networks. To increase the sensor node lifetime in any wireless sensor network (WSN) based on the Energy-efficient cluster and routing in WSN. The advancement in the electronic industry has to develop the low powerconsuming and low-cost devices for multiple purposes. Methods: A new algorithm is proposed to improve the energy efficiency in IoT-based WSN for routing algorithms. The low power consuming devices are wisely chosen for the respected application and their power management. This study is intended to provide efficient routing algorithms with less energy consumption in wireless sensor networks. Findings: A wireless sensor network deployed with a number of non-static nodes in a communication network are beneficial for numerous fields such as the military, medical sector, structural health monitoring, transportation industries, etc. In this paper, the performance parameters like average throughput, average end-to-end delay, packet delivery ratio, average node energy, and normalized routing load are analyzed. Novelty: We designed and simulated the Distributed IoT-based wireless network system to analyze the information of nodes roaming in the vicinity of the zone area. In proposed technique energy efficiency is increased compared to the conventional algorithm. In node centric routing protocol, energy efficiency is increased from 55% to 68%. In data centric routing protocol, energy efficiency is increased from 65% to 75%. In source-initiated routing protocol, energy efficiency is increased from 68% to 80%. In destination-initiated routing protocol, energy efficiency is increased from 72% to 85%.

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Section: Introductionmentioning

confidence: 99%

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Shilpa¹,

Chetan²,

Anand³

2023

IJST

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“…These protocols are also used to reduce the scalability of the network 36 . Location geo‐graphic protocols communication data packets from the BS are received by the sensor node 5 . The main thing is to discover the geo‐graphical locations for the nodes 13 .…”

Section: Introductionmentioning

confidence: 99%

“…36 Location geo-graphic protocols communication data packets from the BS are received by the sensor node. 5 The main thing is to discover the geo-graphical locations for the nodes. 13 Hierarchical protocols for architecture use multi-tier for transmitting the data.…”

mentioning

confidence: 99%

Self‐attention based generative adversarial network with Aquila optimization algorithm espoused energy aware cluster head selection in WSN

Soundararajan,

Tapas Bapu,

Sargunavathi

et al. 2023

Int J Communication

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SummaryWSNs have a wide range of applications, and the effective Wireless Sensor Network (WSN) design includes the best energy optimization techniques. The nodes in wireless sensor networks run on batteries. The existing cluster head selection methods do not take into account the latency and rate of wireless network traffic when optimizing the node's energy constraints. To overcome these issues, a self‐attention based generative adversarial network (SabGAN) with Aquila Optimization Algorithm (AqOA) is proposed for Multi‐Objective Cluster Head Selection and Energy Aware Routing (SabGAN‐AqOA‐EgAwR‐WSN) for secured data transmission in wireless sensor network. The proposed method implements the routing process through cluster head. SabGAN classifiers are utilized to select the CH based on firm fitness functions, including delay, detachment, energy, cluster density, and traffic rate. After the selection of the cluster head, the malicious node gains access to the cluster. Therefore, the ideal path selection is carried out by three parameters: trust, connectivity, and degree of amenity. These three parameters are optimized under proposed AqOA. The data are transferred to the base station with the support of optimum trust path. The proposed SabGAN‐AqOA‐EgAwR‐WSN method is activated in NS2 simulator. Finally, the proposed SabGAN‐AqOA‐EgAwR‐WSN method attains 12.5%, 32.5%, 59.5%, and 32.65% higher alive nodes; 85.71%, 81.25%, 82.63%, and 71.96% lower delay; and 52.25%, 61.65%, 37.83%, and 20.63% higher normalized network energy compared with the existing methods.

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“…The existing solutions improve WBAN availability by enhancing the sensor battery due to the employment of various techniques, such as clustering, optimizing frame length, SDN-based routing, aggregated routing, and energy-aware routing [ 1 , 2 , 3 , 4 , 5 , 6 ]. However, enhancing the coverage area of WBAN while preserving the battery needs an optimal approach, such as multi-hop routing, that uses hop-to-hop relay, thus avoiding the requirement of excessive transmission power.…”

Section: Introductionmentioning

confidence: 99%

Multipath Routing in Wireless Body Area Sensor Network for Healthcare Monitoring

et al. 2022

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Mobility and low energy consumption are considered the main requirements for wireless body area sensor networks (WBASN) used in healthcare monitoring systems (HMS). In HMS, battery-powered sensor nodes with limited energy are used to obtain vital statistics about the body. Hence, energy-efficient schemes are desired to maintain long-term and steady connectivity of the sensor nodes. A sheer amount of energy is consumed in activities such as idle listening, excessive transmission and reception of control messages, packet collisions and retransmission of packets, and poor path selection, that may lead to more energy consumption. A combination of adaptive scheduling with an energy-efficient protocol can help select an appropriate path at a suitable time to minimize the control overhead, energy consumption, packet collision, and excessive idle listening. This paper proposes a region-based energy-efficient multipath routing (REMR) approach that divides the entire sensor network into clusters with preferably multiple candidates to represent each cluster. The cluster representatives (CRs) route packets through various clusters. For routing, the energy requirement of each route is considered, and the path with minimum energy requirements is selected. Similarly, end-to-end delay, higher throughput, and packet-delivery ratio are considered for packet routing.

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Energy-Efficient Routing Protocols for Wireless Sensor Networks: Architectures, Strategies, and Performance

Cited by 63 publications

References 111 publications

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Self‐attention based generative adversarial network with Aquila optimization algorithm espoused energy aware cluster head selection in WSN

Multipath Routing in Wireless Body Area Sensor Network for Healthcare Monitoring

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