scholarly journals Lifetime Responsive Depth Based Routing for Underwater Wireless Sensor Network using Hybrid Soft Computing Technique with Optimal Delay

2020 ◽  
Vol 9 (11) ◽  
pp. 357-364
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Formation ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Node Mobility ◽  
Network Simulator ◽  
Computing Technique ◽  
Optimal Delay

Underwater wireless sensor network (UWSN) is an emerging technology that has been used for different applications such as warning systems for disasters, monitoring the ecosystem, drilling of the oil, defense surveillance. Although underwater communication may be accomplished using electromagnetic or optical waves, but these methods are not feasible for practical UWSN, due to signal attenuation. UWSN faces several issues like restricted bandwidth, irregular node mobility, increased delay etc. which affects the routing behavior. In this paper, an optimal delay and lifetime aware depth based routing (ODLDR) protocol is proposed. Protocol first introduced the group partitioning algorithm for cluster formation that minimizes the energy consumption of network then an efficient priority based scheduling algorithm is proposed for trust computation, which helps in finalizing the CH and routing path. The ODLDR protocol is tested with the high density nodes in Network Simulator (NS2) tool. The simulation results shows the effectiveness of the ODLDR protocol in terms of energy consumption, packet delivery ratio, positioning accuracy, end-to-end delay, throughput and network lifetime.

scholarly journals Novel Vector based Forwarding Protocol and Efficient Depth based Routing Protocol Acoustic Underwater Wireless Sensor

2021 ◽  
Author(s):  
R. Thiagarajan ◽  
V. Balajivijayan ◽  
R. Krishnamoorthy ◽  
I. Mohan
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Energy Efficient Routing ◽  
Acoustic Channel

Abstract Underwater Wireless Sensor Network offers broad coverage of low data rate acoustic sensor networks, scalability and energy saving routing protocols. Moreover the major problem in underwater networks is energy consumption, which arises due to lower bandwidth and propagation delays. An underwater wireless sensor network frequently employs acoustic channel communications since radio signals not worked in deep water. The transmission of data packets and energy-efficient routing are constraints for the unique characteristics of underwater. The challenging issue is an efficient routing protocol for UWSNs. Routing protocols take advantage of localization sensor nodes. Many routing protocols have been proposed for sensing nodes through a localization process. Here we proposed a Novel vector-based forwarding and efficient depth-based routing protocol. The proposed novel vector-based forwarding provides robust, scalable, and energy-efficient routing. It easily transfers nodes from source to destination. It adopts the localized and distributed alternation that allows nodes to weigh transferring packets and decreases energy consumption and provides better optimal paths. Efficient depth-based routing is a stochastic model that will succeed in a high transmission loss of the acoustic channel. The simulation was used to compare the energy consumption, network lifetime in the form of depth-based routing, delivery ratio, and vector-based forwarding to prove the optimal route finding paths and data transmission propagation delay.

scholarly journals Proposition and Real-Time Implementation of an Energy-Aware Routing Protocol for a Software Defined Wireless Sensor Network

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2739 ◽  
Author(s):  
Muhammad Usman Younus ◽  
Saif ul Islam ◽  
Sung Won Kim
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Raspberry Pi ◽  
Delivery Ratio ◽  
Energy Aware

A wireless sensor network (WSN) has achieved significant importance in tracking different physical or environmental conditions using wireless sensor nodes. Such types of networks are used in various applications including smart cities, smart building, military target tracking and surveillance, natural disaster relief, and smart homes. However, the limited power capacity of sensor nodes is considered a major issue that hampers the performance of a WSN. A plethora of research has been conducted to reduce the energy consumption of sensor nodes in traditional WSN, however the limited functional capability of such networks is the main constraint in designing sophisticated and dynamic solutions. Given this, software defined networking (SDN) has revolutionized traditional networks by providing a programmable and flexible framework. Therefore, SDN concepts can be utilized in designing energy-efficient WSN solutions. In this paper, we exploit SDN capabilities to conserve energy consumption in a traditional WSN. To achieve this, an energy-aware multihop routing protocol (named EASDN) is proposed for software defined wireless sensor network (SDWSN). The proposed protocol is evaluated in a real environment. For this purpose, a test bed is developed using Raspberry Pi. The experimental results show that the proposed algorithm exhibits promising results in terms of network lifetime, average energy consumption, the packet delivery ratio, and average delay in comparison to an existing energy efficient routing protocol for SDWSN and a traditional source routing algorithm.

scholarly journals EFISIENSI ENERGI CHAIN-CLUSTER MENGGUNAKAN MODEL RING UNTUK WIRELESS SENSOR NETWORK

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Siti Ummi Masruroh, M.Sc. , Feri Fahrianto, M.Sc
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Cluster Formation ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Ring Model ◽  
Clustering Protocols

The function of clustering protocols to minimize the energy consumption of each node, and reduce number of transmission in wireless sensor network. However, most existing clustering protocols consume large amounts of energy, incurred by cluster formation overhead and fixed-level clustering, particularly when sensor nodes are densely deployed in wireless sensor networks. In this paper, we propose Pegasis Routing based on Ring Model, which is energy consumption in the system and prolong the network lifetime, with multiple clustes will decrease the network latency. Keywords: Wireless sensor networks (WSN), PEGASIS, lifetime

scholarly journals Secured node detection technique based on artificial neural network for wireless sensor network

2021 ◽  
Vol 11 (1) ◽  
pp. 536
Author(s):  
Bassam Hasan ◽  
Sameer Alani ◽  
Mohammed Ayad Saad
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Detection Technique ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Artificial Neural

The wireless sensor network is becoming the most popular network in the last recent years as it can measure the environmental conditions and send them to process purposes. Many vital challenges face the deployment of WSNs such as energy consumption and security issues. Various attacks could be subjects against WSNs and cause damage either in the stability of communication or in the destruction of the sensitive data. Thus, the demands of intrusion detection-based energy-efficient techniques rise dramatically as the network deployment becomes vast and complicated. Qualnet simulation is used to measure the performance of the networks. This paper aims to optimize the energy-based intrusion detection technique using the artificial neural network by using MATLAB Simulink. The results show how the optimized method based on the biological nervous systems improves intrusion detection in WSN. In addition to that, the unsecured nodes are affected the network performance negatively and trouble its behavior. The regress analysis for both methods detects the variations when all nodes are secured and when some are unsecured. Thus, Node detection based on packet delivery ratio and energy consumption could efficiently be implemented in an artificial neural network.

scholarly journals A MODIFIED ALGORITHM AND PROTOCOL FOR JAMMING ATTACK PREVENTION FOR WIRELESS SENSOR NETWORK.

2020 ◽  
Vol 9 (6) ◽  
pp. 48-54
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Secure Communication ◽  
Secure Routing ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Security Threat ◽  
Jamming Attack ◽  
The Impact

Wireless networks are gaining popularity to its peak nowadays, because the users need wireless connectivity regardless of their geographic position. there's an increasing threat of attacks on the Wireless sensor Network (WSN). Node jamming attack is one in all the security threat within which the traffic is redirected to such a node that really doesn't exist within the network. It’s an analogy to the Jamming within the universe within which things disappear. The node presents itself in such some way to the node that it will attack different nodes and networks knowing that it's the shortest path. WSNs should have a secure approach for transmission and communication that is kind of difficult and very important issue. so as to produce secure communication and transmission, research worker worked specifically on the security problems in WSNs, and lots of secure routing protocols and security measures inside the networks were proposed. The scope of this work is to review the effects of Jamming attack in WSN exploitation (and prevention this attack exploitation security primarily based modified. Comparative analysis of Jamming attack for each protocols is taken under consideration. The impact of Node Jamming attack on the performance of WSN is evaluated searching for that protocol is additional vulnerable to the attack and the way abundant is that the impact of the attack on each protocols. The measurements were taken within the light of packet delivery ratio, throughput, end-to-end delay and residual energy. Simulation is completed in Network simulator tool two (NS-2).

scholarly journals On precise path planning algorithm in wireless sensor network

2018 ◽  
Vol 14 (7) ◽  
pp. 155014771878338 ◽  
Author(s):  
Farhanda Javed ◽  
Samiullah Khan ◽  
Asfandyar Khan ◽  
Alweena Javed ◽  
Rohi Tariq ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Path Planning ◽  
Sensor Network ◽  
Critical Issue ◽  
Wireless Sensor ◽  
Network Simulator ◽  
Location Error ◽  
Node Density ◽  
Error Ratio

Wireless sensor network is a collection of small devices called sensors nodes, which are deployed in the sensing field to monitor physical and environmental information. Location information of sensor node is a critical issue for many applications in wireless sensor network. The main problem is to design a path for a mobile landmark to maximize the location accuracy as well as to reduce energy consumption. Different path planning schemes have been proposed for localization. Here, this study focused only on static path planning scheme. In this article, the performance of five static path planning schemes is evaluated, namely, random way point, Scan, D-Scan, Hilbert, and Circles based on three parameters such as location error ratio, energy consumption, and number of references. Network simulator-2 is used as a simulation tool. Simulation scenarios with three node densities are used in this research study such as sparse node density, medium node density, and dense node density. The analysis of simulation results concludes that random way point has higher performance efficiency compared to rest of the static path planning algorithms concerning location error ratio (accuracy), energy consumption, and number of references in medium and dense node density scenarios. Hilbert performance was found good only in sparse node density scenario.

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