scholarly journals ECO-BAT: A New Routing Protocol for Energy Consumption Optimization Based on BAT Algorithm in WSN

2021 ◽  
Vol 66 (2) ◽  
pp. 1497-1510
Author(s):  
Mohammed Kaddi ◽  
Abdallah Banana ◽  
Mohammed Omari
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Bat Algorithm ◽  
Energy Consumption Optimization

scholarly journals An Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on AGNES with Balanced Energy Consumption Optimization

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3938 ◽  
Author(s):  
Zhidong Zhao ◽  
Kaida Xu ◽  
Guohua Hui ◽  
Liqin Hu
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Initial Energy ◽  
Optimal Number ◽  
Wireless Sensor ◽  
Total Energy Consumption ◽  
Energy Consumption Optimization ◽  
Balanced Energy Consumption ◽  
Energy Efficient Clustering

To further prolong the lifetime of wireless sensor network (WSN), researchers from various countries have proposed many clustering routing protocols. However, the total network energy consumption of most protocols is not well minimized and balanced. To alleviate this problem, this paper proposes an energy-efficient clustering routing protocol in WSNs. To begin with, this paper introduces a new network structure model and combines the original energy consumption model to construct a new method to determine the optimal number of clusters for the total energy consumption minimization. Based on the balanced energy consumption, then we optimize the AGglomerative NESting (AGNES) algorithm, including: (1) introduction of distance variance, (2) the dual-cluster heads (D-CHs) division of the energy balance strategy, and (3) the node dormancy mechanism. In addition, the CHs priority function is constructed based on the residual energy and position of the node. Finally, we simulated this protocol in homogeneous networks (the initial energy = 0.4 J, 0.6 J and 0.8 J) and heterogeneous networks (the initial energy = 0.4–0.8 J). Simulation results show that our proposed protocol can reduce the network energy consumption decay rate, prolong the network lifetime, and improve the network throughput in the above two networks.

Comfort and energy consumption optimization in smart homes using bat algorithm with inertia weight

2021 ◽  
pp. 103848
Author(s):  
Mohamad Razwan Abdul Malek ◽  
Nor Azlina Ab Aziz ◽  
Salem Alelyani ◽  
Mohamed Mohana ◽  
Farah Nur Arina Baharudin ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Smart Homes ◽  
Bat Algorithm ◽  
Inertia Weight ◽  
Energy Consumption Optimization

LEACH-EO: A More Energy-Efficient LEACH Protocol for WSN

2014 ◽  
Vol 644-650 ◽  
pp. 3108-3111
Author(s):  
Jing Zhang ◽  
Han Yan ◽  
Yi Cui ◽  
Hui Rong ◽  
Jian Ping Wang
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Adaptive Clustering ◽  
Energy Consumption Optimization ◽  
Leach Protocol ◽  
Reduce Energy Consumption ◽  
Selection Of

The sensor nodes in WSN are generally limited in energy, and the communication between nodes consumes most power. Therefore, it is the key point to reduce energy consumption and network traffic when designing routing protocols for WSN. The Low Energy Adaptive Clustering Hierarchy (LEACH) protocol is a widely used and studied WSN routing protocol. In this paper, an improved LEACH based on energy-consumption optimization (LEACH-EO) was proposed against the deficiencies of LEACH. LEACH-EO implemented some improvements on the cluster-head selection of LEACH, meanwhile, the data redundancy of WSN was exploited to optimize the data transmission according to the characteristics of WSN. The simulation results show that LEACH-EO increases network lifetime and reduces energy consumption in comparison to LEACH.

Probabilistic and Fuzzy based Efficient Routing Protocol for Mobile Ad Hoc Networks

2020 ◽  
Vol 13 (3) ◽  
pp. 422-432
Author(s):  
Madan Mohan Agarwal ◽  
Hemraj Saini ◽  
Mahesh Chandra Govil
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Routing Protocol ◽  
Queue Length ◽  
Ad Hoc ◽  
Fuzzy Controller ◽  
Second Phase ◽  
Path Distance ◽  
Fixed Threshold ◽  
Multiple Paths

Background: The performance of the network protocol depends on number of parameters like re-broadcast probability, mobility, the distance between source and destination, hop count, queue length and residual energy, etc. Objective: In this paper, a new energy efficient routing protocol IAOMDV-PF is developed based on the fixed threshold re-broadcast probability determination and best route selection using fuzzy logic from multiple routes. Methods: In the first phase, the proposed protocol determines fixed threshold rebroadcast probability. It is used for discovering multiple paths between the source and the destination. The threshold probability at each node decides the rebroadcasting of received control packets to its neighbors thereby reducing routing overheads and energy consumption. The multiple paths list received from the first phase and supply to the second phase that is the fuzzy controller selects the best path. This fuzzy controller has been named as Fuzzy Best Route Selector (FBRS). FBRS determines the best path based on function of queue length, the distance between nodes and mobility of nodes. Results: Comparative analysis of the proposed protocol named as "Improved Ad-Hoc On-demand Multiple Path Distance Vector based on Probabilistic and Fuzzy logic" (IAOMDV-PF) shows that it is more efficient in terms of overheads and energy consumption. Conclusion: The proposed protocol reduced energy consumption by about 61%, 58% and 30% with respect to FF-AOMDV, IAOMDV-F and FPAOMDV routing protocols, respectively. The proposed protocol has been simulated and analyzed by using NS-2.

PERFORMANCE EVALUATION ANALYSIS OF WIRELESS SENSOR NETWORKS ROUTING PROTOCOLS IN SMART GRIDS

2016 ◽  
Vol 26 (1) ◽  
pp. 17
Author(s):  
Carlos Deyvinson Reges Bessa
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Smart Grids ◽  
Network Routing ◽  
Base Station ◽  
Wireless Sensor ◽  
Delay Jitter ◽  
La Red

ABSTRACTThis work aims to study which wireless sensor network routing protocol is more suitable for Smart Grids applications, through simulation of AODV protocols, AOMDV, DSDV and HTR in the NS2 simulation environment. Was simulated a network based on a residential area with 47 residences, with one node for each residence and one base station, located about 25m from the other nodes. Many parameters, such as packet loss, throughput, delay, jitter and energy consumption were tested.  The network was increased to 78 and 93 nodes in order to evaluate the behavior of the protocols in larger networks. The tests proved that the HTR is the routing protocol that has the best results in performance and second best in energy consumption. The DSDV had the worst performance according to the tests.Key words.- Smart grid, QoS analysis, Wireless sensor networks, Routing protocols.RESUMENEste trabajo tiene como objetivo estudiar el protocolo de enrutamiento de la red de sensores inalámbricos es más adecuado para aplicaciones de redes inteligentes, a través de la simulación de protocolos AODV, AOMDV, DSDV y HTR en el entorno de simulación NS2. Se simuló una red basada en una zona residencial con 47 residencias, con un nodo para cada residencia y una estación base, situada a unos 25 metros de los otros nodos. Muchos parámetros, tales como la pérdida de paquetes, rendimiento, retardo, jitter y el consumo de energía se probaron. La red se incrementó a 78 y 93 nodos con el fin de evaluar el comportamiento de los protocolos de redes más grandes. Las pruebas demostraron que el HTR es el protocolo de enrutamiento que tiene los mejores resultados en el rendimiento y el segundo mejor en el consumo de energía. El DSDV tuvo el peor desempeño de acuerdo a las pruebas.Palabras clave.- redes inteligentes, análisis de calidad de servicio, redes de sensores inalámbricas, protocolos de enrutamiento.

Sign in / Sign up

Export Citation Format

Share Document