EEMCCP - A Novel Architecture Protocol Design for Efficient Data Transmission in Underwater Acoustic Wireless Sensor Network

Usha, M.; Sathiamoorthy, J.; Ashween, R; Ramakrishnan, Bhagavath Nishanth

doi:10.22247/ijcna/2020/195674

Cited by 11 publications

(4 citation statements)

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“…The simulation experiments of the proposed HCSGWOA-NLOS-PS and the benchmarked approaches are conducted and validated using EstiNet 8.1 Simulator. [37][38][39][40][41][42][43][44] The simulation parameters considered for implementing the proposed HCSGWOA-NLOS-PS and the benchmarked WI-CLOSPS-DVBA, 23 CS-NLOSSL-CIC, 25 WDHP-NLOS-PS, 22 and CVN-NLOS-PS 21 schemes are kept constant throughout the simulation. 17,[45][46][47][48][49] They are implemented with the same environment, traffic condition and mobility model.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

A Hybrid Crow Search and Gray Wolf Optimization Algorithm‐based Reliable Non‐Line‐of‐Sight Node Positioning Scheme for Vehicular Ad hoc Networks

Malar¹,

Priya²,

Janakiraman³

2020

Int J Communication

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Summary Vehicular Ad hoc NETwork (VANET) facilitates ubiquitous connectivity for establishing Vehicle‐to‐Vehicle (V2V) communication and supporting Intelligent Transportation Systems (ITSs). This vehicle communication requires complete coverage within the target range for ensuring reliable message dissemination. High density of vehicles in the intersections introduces challenges due to obstacles such as buildings, foliage, and other moving vehicles, preventing exchange of information about location and message update between vehicles. Non‐Line‐of‐Sight (NLOS) nodes also introduce broadcasting storm problem leading to congestion that prevents emergency messages from reaching the target vehicular nodes. Integration of meta‐heuristic Crow Search Algorithm (CSA) and Gray Wolf Optimization Algorithm (GWOA) minimizes the objective function of NLOS localization problem without the solution being trapped into local optima. In this paper, a Hybrid Crow Search and GWOA‐based NLOS Positioning Scheme (HCSGWOA‐NLOS‐PS) is proposed to handle the issue of broadcast storm and facilitate reliability in emergency message delivery. The proposed HCSGWOA‐NLOS‐PS utilizes the benefits of Time of Arrival (ToA) and geographical information‐based cooperative localization agent for attaining efficient NLOS node positioning in the network. It uses the benefits of CSA and GWOA for positioning the NLOS nodes based on the intelligence derived from the crows' conduit and the social attacking behavior of gray wolves that are ideal for balancing the tradeoff between exploration and exploitation. The simulation results of the proposed HCSGWOA‐NLOS‐PS confirm a mean emergency message delivery of 11.82%, neighborhood awareness of 12.38% with reduced localization error rate of 2.36% and minimized delay of 8.64% when compared to the baseline approaches.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

A Hybrid Crow Search and Gray Wolf Optimization Algorithm‐based Reliable Non‐Line‐of‐Sight Node Positioning Scheme for Vehicular Ad hoc Networks

Malar¹,

Priya²,

Janakiraman³

2020

Int J Communication

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“…Examples of hierarchical protocols include Mobility prediction clustering (MPC) [34] and Clustering Algorithm of UAV Networking [35]. EEMCCP relies on clusters for routing by using the CAA(Chaotic Algae algorithm).Every cluster that is created is managed by a Cluster Head (CH) [36].…”

Section: Related Workmentioning

confidence: 99%

OEE-AODV – Optimized Energy Efficient Routing Protocol for Reliable Data Transmission in FANETS

Mohanakrishnan

Sathiamoorthy²,

Nishanth

et al. 2023

Preprint

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FANETs are the new means of communication and have been aiding domestic and military applications for a long time now. FANETS are supported by UAV (Unmanned Autonomous Vehicles) which carry out the task of transmitting and receiving data. FANETs are still susceptible to challenges and issues that ad hoc networks usually face. Because of the lack of infrastructure, FANET related issues need to be addressed before applying any strategies or protocols over the network. Routing and effective transmission are two major challenges faced in FANETs. This objective of a FANET is not aided in any way by the high mobile AUVs in the network scenario. Packet loss and routing failures are common occurrences in a FANET. Node and route links are not permanent and may lead to a lot of transmission related issues. The performance of any network is gauged by its successful delivery rate. Effective delivery is made possible by carefully planned routing strategies. Setting up an optimal path right from the originating source to the delivery address is quite the challenge in a FANET. FANETs also fall victim to various network attacks, primary of which is the black hole attack. Black hole attacks are more common in a FANET and this is closely associated with the AUVs’ high mobility. Data may be completely lost during a black hole attack. Our proposed protocol will address the challenge of effective routing while addressing black hole attacks. Our Eagle optimized Energy Efficient Ad hoc On demand Distance Vector (OEE-AODV)routing protocol focuses primarily on selecting an optimized and secure route towards the destination node .Network factors like trust degree, priority queue, network delay, hop count and the level of energy consumption are taken into consideration in formulating a routing strategy for the proposed protocol. The outcome is an efficient routing strategy that can oversee the successful delivery of the data. The proposed protocol works in two phases. In the first phase, it focuses on setting up an optimal route with select nodes, while in the second phase it enhances the security level of the network by foiling potential black hole attacks with the use of the RREP packets. The nodes along the discovered route will be made up of nodes which are scrutinized and determined as trusted nodes. The OEE-AODV protocol assures the successful delivery of data with the help of an optimal and trusted routing path. The proposed OEE-AODV protocol is assessed against AODV and AODV-V2 protocols to assess its performance. OEE-AODV achieves maximum PDR and throughput while conserving the network energy by minimizing the network delay.

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“…A new protocol was designed by Usha et al 31 to enhance the data communication in UWA WSNs. The proposed method utilized the energy efficient minimum cost cluster routing protocol (EEMCCP) for packet routing based on the clusters.…”

Section: Related Workmentioning

confidence: 99%

An improved underwater wireless sensor network communication using Internet of Things and signal to noise ratio analysis

Kapileswar

Polasi

2022

Trans Emerging Tel Tech

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Underwater acoustic (UWA) channels are widely regarded as one of the most challenging communication mediums. Low frequencies are best for acoustic propagation, and the bandwidth available for communication is extremely small. The worst channel situation often limits the efficiency of UWA communication systems due to the difficulty and time‐varying nature of the UWA channel. To solve the existing limitations related with underwater signal transmission and communication, an improved underwater communication system incorporated with Internet of Things (IoT) is proposed in this work. The proposed system utilizes the orthogonal signal division multiplexing modulation technique. Here the signal transmission process is achieved with the help of an IoT network system. An improved AdaBoost channel estimation algorithm is used to obtain the channel information. This work utilizes an improved stochastic gradient descent optimization method for selecting the suitable mode of signal transmission based on the estimated channel. Further, an adaptive recursive least square channel equalization algorithm is used for channel compensation. The simulation results are obtained with the help of the MATLAB platform. The performance is analyzed in terms of parameters such as signal to noise ratio, bit error rate, and mean square error. A comparison of the proposed method is also made with the existing methods. The evaluation results show that the proposed method performs better than the existing methods.

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EEMCCP - A Novel Architecture Protocol Design for Efficient Data Transmission in Underwater Acoustic Wireless Sensor Network

Cited by 11 publications

References 0 publications

A Hybrid Crow Search and Gray Wolf Optimization Algorithm‐based Reliable Non‐Line‐of‐Sight Node Positioning Scheme for Vehicular Ad hoc Networks

A Hybrid Crow Search and Gray Wolf Optimization Algorithm‐based Reliable Non‐Line‐of‐Sight Node Positioning Scheme for Vehicular Ad hoc Networks

OEE-AODV – Optimized Energy Efficient Routing Protocol for Reliable Data Transmission in FANETS

An improved underwater wireless sensor network communication using Internet of Things and signal to noise ratio analysis

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