An Energy-Efficient Routing Protocol for MANET in Internet of Things Environment

Vu, Quy Khanh; Ngoc, Le Anh

doi:10.3991/ijoe.v17i07.23273

Cited by 6 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Jubair, M.A. et al [19] proposed a new bat optimized link state routing protocols to increase the MANET's energy efficiency. In both the MANET optimized link state routing (OLSR) and the BAT, signal transmission and reception are used to identify the path.…”

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

Prasad¹,

Vuyyuru²,

Sushma³

et al. 2022

IJRITCC

View full text Add to dashboard Cite

A Mobile Ad Hoc Networks (MANETs) comprises of the vast range of devices such as sensors, smart phones, laptops and other mobile devices that connect with each other across wireless networks and collaborate in a dispersed fashion to offer network functions in the absence of a permanent infrastructure. The Cluster Head (CH) selection in a clustered MANET is still crucial for lowering each node's energy consumption and increasing the network's lifetime. However, in existing clustering mechanism trust of the all nodes are presumed those causes increased challenge in the MANET environment. Security is a crucial factor when constructing ad-hoc networks. In a MANET, energy consumption in route optimization is dependent on network resilience and connectivity. The primary objective of this study is to design a reliable clustering mechanism for MANETs that takes energy efficiency into account. For trusted energy-efficient CH in the nodes, a safe clustering strategy integrating energy-efficient and fuzzy logic based energy clustering is proposed to address security problems brought about by malicious nodes and to pick a trustworthy node as CH. To improve the problem findings Bat algorithm (BAT) is integrated with Particle Swarm Optimization (PSO). The PSO technique is inspired because it imitates the sociological characteristics of the flock of the birds through random population. The BAT is a metaheuristic algorithm inspired by microbat echolocation behavior that uses pulse average with global optimization of the average path in the network. Hybrid Particle Swarm Optimization (HPSO) and BAT techniques are applied to identify the best route between the source and destination. According to the simulation results, the suggested Fuzzy logic Particle Swarm Optimization BAT (FLPSO-BAT) technique has a minimum latency of 0.0019 milliseconds, with energy consumption value of 0.09 millijoules, maximal throughput of 0.76 bits per sec and detection rate of 90.5% without packet dropping attack.

show abstract

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

Prasad¹,

Vuyyuru²,

Sushma³

et al. 2022

IJRITCC

View full text Add to dashboard Cite

show abstract

“…The total of M2M connection numbers will account for over 50% of global network connections. Furthermore, mobile networks must support many times higher data traffic compared to possible existing systems [2]. Existing network technical and technological standards will be unsuitable [3]- [4].…”

Section: Introductionmentioning

confidence: 99%

Improved Multi-Channel Multi-Interface Routing Protocol for Wireless Mesh Networks

Quý¹,

Tien²,

Quy³

2022

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

In recent years, Wireless Mesh Networks (WMN) are emerging as a potential technology to enhance the ability and availability of wireless networks. WMN consists of wireless mesh routers and terminals connected by wireless multi-hop communication. Besides, in WMN, each wireless node owns many interfaces, and each interface operates on many channels. However, effectively using multiple orthogonal channels and multiple interfaces to increase the performance of WMN and decrease the radio link transmission interference is of significant challenge. In this paper, we consider routing issues in WMN. Then, we proposed an on-demand routing protocol, adaptive multi-channel multi-interface operation, improved from the AODV protocol. This protocol is capable of effectively managing communication in the WMN and limited effects of co-channel interference. The simulation results on NS2 show that our proposed protocol improves throughput, delay and packet delivery rate compared to existing traditional protocols.

show abstract

IoT energy efficiency routing protocol using FHO‐based clustering and improved CSO model‐based routing in MANET

Sanshi,

Vatambeti

2024

Int J Communication

View full text Add to dashboard Cite

SummaryMany protocols, services, and electrical devices with built‐in sensors have been developed in response to the rapid expansion of the Internet of Things. Mobile ad hoc networks (MANETs) consist of a collection of autonomous mobile nodes that can form an ad hoc network in the absence of any pre‐existing infrastructure. System performance may suffer due to the changeable topology of MANETs. Since most mobile hosts operate on limited battery power, energy consumption poses the biggest challenge for MANETs. Both network lifetime and throughput improve when energy usage is reduced. However, existing approaches perform poorly in terms of energy efficiency. Scalability becomes a significant issue in large‐scale networks as they grow, leading to overhead associated with routing updates and maintenance that can become unmanageable. This article employs a MANET routing protocol combined with an energy conservation strategy. The clustering hierarchy is used in MANETs to maximize the network's lifespan, considering its limited energy resources. In the MANET communication process, the cluster head (CH) is selected using Fire Hawk Optimization (FHO). When choosing nodes to act as a cluster for an extended period, CH election factors in connectivity, mobility, and remaining energy. This process is achieved using an optimized version of the Ad hoc On‐Demand Distance Vector (AODV) routing protocol, utilizing Improved Chicken Swarm Optimization (ICSO). In comparison to existing protocols and optimization techniques, the proposed method offers an extended network lifespan ranging from 90 to 160 h and reduced energy consumption of 80 to 110 J, as indicated by the implementation results.

show abstract

An Energy-Efficient Routing Protocol for MANET in Internet of Things Environment

Cited by 6 publications

References 23 publications

A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

Improved Multi-Channel Multi-Interface Routing Protocol for Wireless Mesh Networks

IoT energy efficiency routing protocol using FHO‐based clustering and improved CSO model‐based routing in MANET

Contact Info

Product

Resources

About