Impact of Duty Cycle and Different Routing Protocols on the Energy Consumption of a Wireless Sensor Network

2020 ◽  
Author(s):  
Pallavi Joshi ◽  
Ghanshyam Singh ◽  
Ajay Singh Raghuvanshi
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Duty Cycle ◽  
Routing Protocols ◽  
Wireless Sensor

scholarly journals Consumption of Energy and Routing Protocols in Wireless Sensor Network

2016 ◽  
Vol 8 (3) ◽  
pp. 76 ◽  
Author(s):  
Ridha Azizi
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Cluster Head ◽  
Low Energy ◽  
Wireless Sensor ◽  
Simulation Tool ◽  
New Approach ◽  
Adaptive Clustering

Extend the life of a wireless sensor network (WSN) is a fundamental challenge, as they have a limited supply. Multiple protocols and approaches have been proposed to minimize power consumption. Routing protocols and especially the hierarchical approach is one of the techniques used to minimize energy consumption and to improve the duration of network life. In this paper we propose a new approach to transfer and select the CH (Cluster Head). ART-LEACH (Advanced Routing Transfer- Low-Energy Adaptive Clustering Hierarchy) is a self-organizing protocol based on clustering. Our approach is to use energy more evenly the selected nodes as CH. We evaluated the performance of LEACH (Low-Energy Adaptive Clustering Hierarchy) and IB-LEACH (Improved and Balanced Low Energy Adaptive Clustering Hierarchy) protocol with the proposed new approach using MATLAB as a simulation tool. The simulation results showed that our proposal provides a reduction in energy consumption and increase the duration of network life.

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-saving route optimizationin a software-defined wireless sensor network

2018 ◽  
Vol 14 (10) ◽  
pp. 155014771880765 ◽  
Author(s):  
Huifeng Huang ◽  
Zhihong Wu ◽  
Shaoju Tang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Energy Saving ◽  
Sensor Network ◽  
Routing Protocols ◽  
High Energy ◽  
Route Optimization ◽  
Wireless Sensor ◽  
Important Concern ◽  
Global Route

Energy efficiency in wireless sensor networks is an important concern of ‘green’ Internet of Things. The existing energy-saving routing protocols usually compute the route in isolation, which is disadvantageous to globally optimize the energy consumption. In this article, we propose a novel energy-saving route optimization solution based on the software-defined wireless sensor network. In our proposed solution, the controller obtains the overall information about the network topology and the existing routes. Based on the above information, this solution centrally optimizes the routes in a global manner. In contrast to the existing energy-saving routing protocols, the central route optimization better reduces the energy consumption from an overall perspective. The global route optimization tends to reduce the overall energy consumption using a small number of sensors, which can improve the effectiveness of the used sensors. However, using a small number of sensors leads to high energy consumption of related sensors. To solve the above problem, our proposed solution uses a routing evasion mechanism to balance the energy consumption between sensors.

scholarly journals Wireless Sensor Network Energy Model and Its Use in the Optimization of Routing Protocols

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 728
Author(s):  
Carolina Del-Valle-Soto ◽  
Carlos Mex-Perera ◽  
Juan Arturo Nolazco-Flores ◽  
Ramiro Velázquez ◽  
Alberto Rossa-Sierra
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Model ◽  
Low Energy ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Actual Performance

In this study, a Wireless Sensor Network (WSN) energy model is proposed by defining the energy consumption at each node. Such a model calculates the energy at each node by estimating the energy of the main functions developed at sensing and transmitting data when running the routing protocol. These functions are related to wireless communications and measured and compared to the most relevant impact on an energy standpoint and performance metrics. The energy model is validated using a Texas Instruments CC2530 system-on-chip (SoC), as a proof-of-concept. The proposed energy model is then used to calculate the energy consumption of a Multi-Parent Hierarchical (MPH) routing protocol and five widely known network sensors routing protocols: Ad-hoc On-demand Distance Vector (AODV), Dynamic Source Routing (DSR), ZigBee Tree Routing (ZTR), Low Energy Adaptive Clustering Hierarchy (LEACH), and Power Efficient Gathering in Sensor Information Systems (PEGASIS). Experimental test-bed simulations were performed on a random layout topology with two collector nodes. Each node was running under different wireless technologies: Zigbee, Bluetooth Low Energy, and LoRa by WiFi. The objective of this work is to analyze the performance of the proposed energy model in routing protocols of diverse nature: reactive, proactive, hybrid and energy-aware. Experimental results show that the MPH routing protocol consumes 16%, 13%, and 5% less energy when compared to AODV, DSR, and ZTR, respectively; and it presents only 2% and 3% of greater energy consumption with respect to the energy-aware PEGASIS and LEACH protocols, respectively. The proposed model achieves a 97% accuracy compared to the actual performance of a network. Tests are performed to analyze the consumption of the main tasks of a node in a network.

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