scholarly journals IOUT Enabled Underwater WSN Using Dynamic Adaptive Routing Protocol with Improved Reliability

2020 ◽  
pp. 607-612
Author(s):  
Jasem M Alostad ◽  
◽  
Nizar Alkateeb ◽  
Ebraheem Sultan ◽  
Hameed K. Ebraheem
Keyword(s):  
Routing Protocol ◽  
Directed Acyclic Graph ◽  
Adaptive Routing ◽  
Dynamic Routing ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Acyclic Graph ◽  
Bit Error Ratio ◽  
Optimal Dynamic

In this paper, a trade-off between the energy consumption and network lifetime is considered. This paper proposes an optimal routing protocol called Energy Dynamic Adaptive Routing (EDAR) protocol. The DAR protocol maintains a tradeoff between the reliability or packet delivery ratio (PDR) of sensor nodes and Bit Error Ratio (BER) using optimal dynamic adaptive routing approach. The proposed approach operates on three different phases, namely, initialization, dynamic routing and transmission. During initial phase, all the nodes in the UWSN share location and residual energy information among all the nodes in the network. During dynamic routing phase, an optimal Directed Acyclic Graph (DAG) based route selection is exploited to select the neighbor and successor nodes. This facilitates the successive routing to transmit the packets from one node to another. Here, the cost function with directed acyclic graph is utilized for better transmission of packets. The experimental results show that proposed method encounters the issues raised in conventional protocol and improves the reliability of packets with higher BER.

Communication Trust and Energy-Aware Routing Protocol for WSN Using D-S Theory

2021 ◽  
Vol 13 (4) ◽  
pp. 24-36
Author(s):  
Srinivasan Palanisamy ◽  
Sankar S. ◽  
Ramasubbareddy Somula ◽  
Ganesh Gopal Deverajan
Keyword(s):  
Routing Protocol ◽  
Data Transfer ◽  
Trust Model ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Battery Life ◽  
Delivery Ratio ◽  
Energy Aware ◽  
Decision Making System ◽  
Trust Models

Wireless sensor networks (WSN) deployed in open environments make nodes prone to various security attacks due to their resource constrained nature. The compromised nodes are used to mislead the sensed data and disrupt communication, which can affect the entire decision-making system based on the sensed data. It is also possible to drain the sensor nodes energy and reduce the battery life of the networks. Trust models are the preferred mechanism to secure WSN. In this paper, the authors present communication trust and energy aware (CTEA) routing protocol that make use of the proposed trust model to mitigate the effects of badmouth and energy drain attacks. They use Dempster theory to compute communication trust and also consider the energy metric, to establish the route for data transfer. The simulation result shows that the proposed trust model increases the packet delivery ratio, residual energy, and network lifetime by mitigating the nodes misbehaviour in presence of energy drain and bad mouth attacks.

Research on MANET-Based Reliable Zone Routing Protocol

2014 ◽  
Vol 519-520 ◽  
pp. 222-226
Author(s):  
Guo Zhao Hou ◽  
Peng Wang
Keyword(s):  
Routing Protocol ◽  
Directed Acyclic Graph ◽  
Transmission Delay ◽  
Delivery Ratio ◽  
Data Packets ◽  
Acyclic Graph ◽  
Zone Routing Protocol ◽  
Simulation Results

In MANET, the scheme for maintaining an inter-zone route in ZRP makes ZRP take more lost packets and more route re-discovering times; the former makes ZRP take lower delivery ratio of data packets, which makes ZRP take less reliability; the latter makes ZRP take more transmission delay and more routing overheads. Aiming at the problem above, a MANET-based reliable zone routing protocol (MRZRP) was proposed. In MRZRP, each node saved multiple backup routes from the node to each intra-zone node by maintaining an directed acyclic graph based on an intra-zone topology, and an inter-zone route was repaired by using backup segment routes as much as possible. The simulation results show that MRZRP improves delivery ratio of data packets, which shows that MRZRP improves the protocol reliability, and MRZRP also reduces the transmission delay and routing overheads.

scholarly journals An Efficient Leader Node Selection for Movable Nodes in WSN using PSO Technique

2019 ◽  
Vol 8 (6) ◽  
pp. 5072-5078
Keyword(s):  
Energy Efficient ◽  
Network Performance ◽  
Clustering Algorithm ◽  
Group Formation ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Efficient Prediction ◽  
The Stability ◽  
Effective Group

Wireless Sensor Networks (WSN) is a group of sensor devices, which are used to sense the surroundings. The network performance is still an issue in the WSN and an efficient protocol is introduced such as LEACH. To improve the stability, LEACH with fuzzy descriptors is used in preceding research. However the existing has drawback with effective group formation in heterogeneous WSN and also it is not achieved the Super Leader Node (SLH). To overcome the above mentioned issues, the proposed system enhances the approach which is used for increasing the energy consumption, packet delivery ratio, and bandwidth and network lifetime. The proposed paper contains three phases such as grouping formation, Leader Node (LN) selection, SLN selection with three main objectives:(i) to acquire Energy-Efficient Prediction Clustering Algorithm (EEPCA) in heterogeneous WSN for grouping formation (ii)To design Low Energy Adaptive Clustering Hierarchy- Expected Residual Energy (LEACH-ERE) protocol for LN selection.(iii)To optimize the SCH selection by Particle Swarm Optimization (PSO) based fuzzy approach. The clustering formation is done by Energy-Efficient Prediction Clustering Algorithm (EEPCA) in heterogeneous WSN. It is used to calculate the sensor nodes which have shortest distance between each node. The LEACH-ERE protocol was proposed to form a Leader Node (LN) and all the nodes has to communicate with sink through LN only. New SLN is elected based on distance from the sink and battery power of the node.

scholarly journals APSSR: Adaptive Packet Size Selection Based Routing Protocol for Underwater Acoustic Sensor Networks

2021 ◽  
Vol 10 (3) ◽  
pp. 2313-2323
Keyword(s):  
Sensor Networks ◽  
Routing Protocol ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Data Delivery ◽  
Acoustic Sensor ◽  
Packet Size ◽  
Underwater Acoustic Sensor Networks ◽  
Acoustic Sensor Networks ◽  
Selection Of

Underwater Acoustic Sensor Networks offer very promising solutions to monitor the aqueous environments. Due to the distinctive characteristics of UASNs, it is very challenging to design a routing protocol that can achieve maximum data delivery ratio in the network. The main challenge is the communication medium (acoustic links) that is subject to temporary attenuation and high bit error rate (BER), which limits the throughput efficiency of the Network. Besides this, another major issue is the continuous movement of nodes due to water currents and the availability of limited resources. Due to nodes mobility distance among sensor nodes and consequently, BER varies, which have a direct impact on packet size, hence, leads to high packet loss and low data delivery ratio. To achieve a high data delivery ratio, the selection of optimal packet size is of utmost importance. Consequently, the selection of next-hop forwarding node based on optimal packet size is needed. Therefore, in this paper, we propose an adaptive routing protocol named Adaptive Packet Size Selection Based Routing (APSSR) Protocol for UASNs. APSSR determines the optimal packet size adaptively based on both varying distances between sensor nodes and BER and selects the next hop based on optimal packet size and BER. The simulation results show greater network performance in terms of Network Lifetime, Data Reception Ratio at Sink node, Average Network Delay, Packet Reception Ratio, and Packets Drop Ratio

Disaster Relief Management Using Reinforcement Learning-Based Routing

2021 ◽  
Vol 17 (1) ◽  
pp. 24-37
Author(s):  
Gajanan Madhavrao Walunjkar ◽  
Anne Koteswara Rao ◽  
V. Srinivasa Rao
Keyword(s):  
Reinforcement Learning ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Average Energy ◽  
High Mobility ◽  
Adaptive Routing ◽  
Mobility Model ◽  
Delivery Ratio ◽  
Disaster Area ◽  
Disaster Scenario

Effective disaster management is required for the peoples who are trapped in the disaster scenario but unfortunately when disaster situation occurs the infrastructure support is no longer available to the rescue team. Ad hoc networks which are infrastructure-less networks can easily deploy in such situation. In disaster area mobility model, disaster area is divided into different zones such as incident zone, casualty treatment zones, transport areas, hospital zones, etc. Also, in order to tackle high mobility of nodes and frequent failure of links in a network, there is a need of adaptive routing protocol. Reinforcement learning is used to design such adaptive routing protocol which shows good improvement in packet delivery ratio, delay and average energy consumed.

Secure-Aware Multipath Routing Using Atom Search Rider Optimization Algorithm in Wireless Sensor Networks

2021 ◽  
Vol 12 (2) ◽  
pp. 36-55
Author(s):  
M. B. Shyjith ◽  
C. P. Maheswaran ◽  
V. K. Reshma
Keyword(s):  
Routing Protocol ◽  
Multipath Routing ◽  
Cluster Head ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Throughput Rate ◽  
Cluster Heads ◽  
Average Residual ◽  
Maximal Average ◽  
Selection Of

WSN is comprised of sensor nodes that sense the data for various applications. The nodes are employed for transmitting sensed data to BS through intermediate nodes or the cluster heads in multi-hop environment. Erroneous selection of CHs may lead to large energy consumption and thereby degrades system performance. Hence, an effective technique was developed by proposing Rider-ASO for secure-aware multipath routing in the WSN. The proposed routing protocol offers security to the network concerning various trust factors. Initially, cluster head selection is done using RCSO. Then, the trust values of the cluster heads that are selected is computed to ensure security while routing. For the multipath routing, proposed Rider-ASO is developed by combining ASO and ROA. Thus, the proposed algorithm finds multiple secured paths from the source into destination based on selected CHs. The developed Rider-ASO outperformed other methods with minimal delay of 0.009 sec, maximal average residual energy 0.5494 J, maximal PDR of 97.82%, maximal throughput rate of 96.07%, respectively.

Reliable and Energy Efficient Routing Protocol for Under Water Sensor Networks

2017 ◽  
Vol 13 (2) ◽  
pp. 14-26
Author(s):  
Fatima Al-Shihri ◽  
Mohammed Arafah
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Residual Energy ◽  
Link Quality ◽  
Destination Node ◽  
Delivery Ratio ◽  
Energy Efficient Routing ◽  
Packet Delivery ◽  
Forwarding Node ◽  
Water Sensor

The authors proposed a Reliable and energy efficient Routing Protocol (RRP) for underwater sensor network, integrating the desired features of the Directional Flooding based Routing (DFR) and Vector Based Void Avoidance (VBVA) protocols. The new algorithm considers reliability and takes into consideration the residual energy for each node before choosing the forwarding node. RRP relies on a packet flooding technique to increase reliability. However, to prevent a packet from flooding to the whole network, they control the number of nodes forwarding a packet by measuring a link quality between nodes in a hop by hop. To mitigate the effect of the inherent void problem, the authors consider residual energy, link quality, and distance from destination node to choose a reliable path to forward packet to destination. The authors observe that RRP protocol has better performance in terms of the packet delivery ratio than the DFR protocol due to the void avoidance technique.

scholarly journals FCERP: A Novel WSNs Fuzzy Clustering and Energy Efficient Routing Protocol

2022 ◽  
Vol 6 (1) ◽  
pp. 31-42
Author(s):  
Zainab Alansari ◽  
Mohammed Siddique ◽  
Mohammed Waleed Ashour
Keyword(s):  
Fuzzy Clustering ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Residual Energy ◽  
Routing Algorithms ◽  
Sensor Nodes ◽  
Energy Efficient Routing ◽  
Critical Issues ◽  
Energy Consuming

Wireless sensor networks (WSNs) are set of sensor nodes to monitor and detect transmitted data to the sink. WSNs face significant challenges in terms of node energy availability, which may impact network sustainability. As a result, developing protocols and algorithms that make the best use of limited resources, particularly energy resources, is critical issues for designing WSNs. Routing algorithms, for example, are unique algorithms as they have a direct and effective relationship with lifetime of network and energy. The available routing protocols employ single-hop data transmission to the sink and clustering per round. In this paper, a Fuzzy Clustering and Energy Efficient Routing Protocol (FCERP) that lower the WSNs energy consuming and increase the lifetime of network is proposed. FCERP introduces a new cluster-based fuzzy routing protocol capable of utilizing clustering and multiple hop routing features concurrently using a threshold limit. A novel aspect of this research is that it avoids clustering per round while considering using fixed threshold and adapts multi-hop routing by predicting the best intermediary node for clustering and the sink. Some Fuzzy factors such as residual energy, neighbors amount, and distance to sink considered when deciding which intermediary node to use.

scholarly journals Adaptive Broadcast Routing Protocol using Fuzzy Logic System for MANET

2019 ◽  
Vol 8 (4) ◽  
pp. 5474-5480
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Mobile Ad Hoc Network ◽  
Threshold Value ◽  
Residual Energy ◽  
Fuzzy Logic System ◽  
Link Quality ◽  
Delivery Ratio ◽  
Broadcast Routing ◽  
Logic System

In Mobile Ad Hoc Network (MANET), forwarding probability should consider neighbour density, link quality and residual energy of the forwarding nodes. Also, redundant broadcasting by checking the inter-arrival times should be considered. In this paper, we propose to design a adaptive broadcast routing protocol using Fuzzy logic system. In this protocol, a set of forwarding nodes are selected based on the residual energy, coverage probability and channel condition. The rebroadcasting or forwarding probability is adaptively adjusted based on the 1-hop neighbour density and relative mobility of neighbours using the fuzzy logic system. Then the selected forwarding nodes forward the route request packets with the probability given by forwarding probability. Before forwarding the packets, the number of redundant packets exceeding a threshold value, are removed by checking successful status of delivered packets. By simulation results, we show that ABRP minimizes the delay and forwarding ratio by increasing the packet delivery ratio and average residual energy.

scholarly journals RMEER: Reliable Multi-path Energy Efficient Routing Protocol for Underwater Wireless Sensor Network

2018 ◽  
Vol 8 (6) ◽  
pp. 4366
Author(s):  
Mukhtiar Ahmed ◽  
Mazleena Salleh ◽  
M. Ibrahim Channa ◽  
Mohd Foad Rohani
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Data Forwarding ◽  
Energy Efficient Routing ◽  
Simulation Performance ◽  
Efficient Route

Underwater Wireless Sensor Networks (UWSNs) is interesting area for researchers.To extract the information from seabed to water surface the the majority numbers of routing protocols has been introduced. The design of routing protocols faces many challenges like deployment of sensor nodes, controlling of node mobility, development of efficient route for data forwarding, prolong the battery power of the sensor nodes, and removal of void nodes from active data forwarding paths. This research article focuses the design of the Reliable Multipath Energy Efficient Routing (RMEER) which develops the efficient route between sensor nodes, and prolongs the battery life of the nodes. RMEER is a scalable and robust protocol which utilizes the powerful fixed courier nodes in order to enhance the network throughput, data delivery ratio, network lifetime and reduces the end-to-end delay. RMEER is also an energy efficient routing protocol for saving the energy level of the nodes. We have used the NS2.30 simulator with AquaSim package for performance analysis of RMEER.We observed that the simulation performance of RMEER is better than D-DBR protocol.

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