Adaptive Multi Path Routing Protocol for Heterogeneous Multi-Hop Wireless Sensor Network

2013 ◽  
Vol 291-294 ◽  
pp. 2532-2536
Author(s):  
Han Hua Yang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Minimum Cost ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Route Maintenance ◽  
Heterogeneous Wireless Sensor Network ◽  
Multiple Paths ◽  
Initial Route

Multi path routing protocol plays important part in the multi hop heterogeneous wireless sensor network. To get better performance, adaptive Wireless Senor Network Multi Path Routing Scheme (AMRH) is proposed, which is made up of three phrases: initial setup, route discovery and establishment, route maintenance. In the first phrase, every node gets the initial route table. In the second phrase, source node will find minimum-cost path among multiple paths. In the third phrase, route maintenance is conducted under adaptive mechanism. Simulation shows that AMRH scheme can prolong sensor network lifetime by 19.5%, increase data delivery ratio by 5.6%.

scholarly journals Routing Design Issues in Heterogeneous Wireless Sensor Network

2018 ◽  
Vol 8 (2) ◽  
pp. 1028
Author(s):  
Manisha R. Dhage ◽  
Srikanth Vemuru
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Wireless Sensor ◽  
Main Concern ◽  
Design Issues ◽  
Habitat Monitoring ◽  
Heterogeneous Wireless Sensor Networks ◽  
Heterogeneous Wireless Sensor Network ◽  
Application Requirements

<p class="Default">WSN has important applications such as habitat monitoring, structural health monitoring, target tracking in military and many more. This has evolved due to availability of sensors that are cheaper and intelligent but these are having battery support. So, one of the major issues in WSN is maximization of network life. Heterogeneous WSNs have the potential to improve network lifetime and also provide higher quality networking and system services than the homogeneous WSN. Routing is the main concern of energy consumption in WSN. Previous research shows that performance of the network can be improve significantly using protocol of hierarchical HWSN. However, the appropriateness of a particular routing protocol mainly depends on the capabilities of the nodes and on the application requirements. This study presents different aspects of Heterogeneous Wireless Sensor network and design issues for routing in heterogeneous environment. Different perspectives from different authors regarding energy efficiency based on resource heterogeneity for heterogeneous wireless sensor networks have been presented.</p>

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 Energy Efficient Fuzzy Based Dynamic Routing Protocol in Wireless Sensor Network

2019 ◽  
Vol 9 (2) ◽  
pp. 3449-3453
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Dynamic Routing ◽  
Wireless Sensor ◽  
Destination Node ◽  
Delivery Ratio ◽  
System A ◽  
The Given

A wireless sensor network is a collection of tiny nodes, which are deployed in the given environment to sense the events. The sensed events are transmitted to the base sensor through multi hop communication for the energy efficient purpose. Routing is an very important activity for WSN where source node transmits the information to destination node using multi hop communication. Due to the inherent characteristics of WSN, there exist frequent topology changes in WSN. Most of the existing routing protocols follow only static routing. In order to overcome the issues of existing system, a novel secure dynamic routing protocol is proposed, where the optimal route can be established even in case of topology change in WSN. The proposed protocol is implemented in NS3 simulation. This simulation results justifies that the proposed protocol will improve the energy consumption using routers and increases packet delivery ratio, throughput and reduces delay.

Empowered AODV Protocol in Wireless Sensor Network using Three Variable RSA Cryptosystem

2020 ◽  
Vol 13 (4) ◽  
pp. 718-724
Author(s):  
Amit K. Agarwal ◽  
Munesh Chandra ◽  
S.S. Sarangdevot
Keyword(s):  
Black Hole ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Secure Communication ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Rsa Cryptosystem ◽  
Simulation Results ◽  
Aodv Routing Protocol

Background: The Wireless Sensor Network (WSN) is a type of networks which primarily designed for the purpose of monitoring in remote areas. It consists of communicating nodes (called sensor's) which communicate each other to share their data and passing the information to the central node. In many applications like defence requires the secure communication of information. However, due to the numerous characteristics of WSN such as open shared communication channel, limited memory, and processing power of sensors, etc. these networks are vulnerable to various attacks such as black hole, gray hole, etc. Objective: The objective of the paper is to secure the AODV routing protocol in WSN using cryptography techniques. Methods: In this paper, the Ad hoc On-demand Distance Vector (AODV) routing protocol has been chosen for information routing because of their lightweight processing capability. To provide secure communication in WSN, the AODV routing protocol is secured by utilizing the RSA key generation algorithm. Here, RSA with three variables (three prime numbers) is employed instead of two variables. Results: The effectiveness of the proposed approach in handling black hole attack is being verified through the simulation results obtained from the experiments conducted using Network Simulator tool (NS2). The three popular performance metrics namely Average End-to-End Delay, Packet Delivery Ratio, and Average Throughput are used for evaluation purpose. These results are observed under different pose time and varying number of malicious nodes. Conclusion: In this paper, a new three variable RSA cryptosystem-based security model is proposed to protect the communication against the Black Hole (BH) attack in wireless sensor networks. The use of three variables instead of two variables allows our model to provide more security as compared to other methods. Simulation results obtained from the experiments carried out using NS2 tool evident the performance of the proposed model over original AODV and other previous models.

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.

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