Small-GEAR in the Specific Scenarios of Small Network

2013 ◽  
Vol 475-476 ◽  
pp. 936-944
Author(s):  
Xun Wang ◽  
Ling Hua Zhang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Routing Protocol ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Hop Count ◽  
Energy Aware Routing ◽  
The Cost ◽  
Entire Network

GEAR is an important geographic and energy aware routing protocol in wireless sensor network. As the GEAR is short of enough topology knowledge and the nodes energy is limited, routing void and routing loop will be arisen. This paper presents a smart energy aware routing protocol based on the geographic (SGEAR), which is suitable for the specific scenarios of small network. In the specific scenarios of small network, there are three major nodes to concentrate on, (1) the selected (2) the void (3) the residual energy is less than threshold. The SGEAR modifies the cost functions based on the residual energy, escaping the routing loop caused by the broadcast delay. From the simulations, the conclusions can be drawn that the smaller hop count doesnt indicate the less energy consumption, and SGEAR can reduce the void number, reducing the energy consumption of the entire network, which further prolongs the life of the network to satisfy the need of the specific scenarios of small network.

An energy-aware routing protocol for wireless sensor network based on genetic algorithm

2017 ◽  
Vol 67 (3) ◽  
pp. 451-463 ◽  
Author(s):  
Lingping Kong ◽  
Jeng-Shyang Pan ◽  
Václav Snášel ◽  
Pei-Wei Tsai ◽  
Tien-Wen Sung
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Energy Aware Routing

scholarly journals An Optimized Energy-aware Routing Protocol for Wireless Sensor Network

2011 ◽  
Vol 12 (2) ◽  
pp. 61-72 ◽  
Author(s):  
Basma M. Mohammad El-Basioni ◽  
Sherine M. Abd El-kader ◽  
Hussein S. Eissa ◽  
Mohammed M. Zahra
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Energy Aware Routing

scholarly journals Optimization of Sports Event Management System Based on Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yuan Zhang ◽  
Xuanli Zhao ◽  
Jing Shen ◽  
Kaixuan Shi ◽  
Yang Yu
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Residual Energy ◽  
Simulation Software ◽  
Wireless Sensor ◽  
Advantages And Disadvantages ◽  
Cluster Heads ◽  
Network Load

In recent years, wireless sensor network technology has developed rapidly and its role in managing systems for sports events has been widely used. Wireless sensor networks not only have low wiring cost, high monitoring accuracy, and good fault tolerance but also can be monitored remotely and have outstanding advantages in fault diagnosis and safety monitoring. In this paper, firstly, the wireless sensor network hierarchical routing protocol is studied and its network model and workflow are analyzed; according to the energy consumption of the wireless sensor network, the selection method of the optimal number of cluster heads is proposed to analyze the advantages and disadvantages existing in the protocol. Secondly, the improvement of the routing protocol is proposed to address the problems of uneven distribution of cluster heads and cluster head election without considering the residual energy of nodes in the protocol. When dividing clusters, the number of neighboring nodes is considered so that cluster heads are distributed more evenly in the network; when electing cluster heads, the residual energy of nodes in the cluster is considered to balance the whole network load, and when electing cluster heads, the residual energy of nodes in the cluster is considered to balance the whole network load. Finally, simulation experiments are conducted in this paper using simulation software, and the simulation results show that the data fusion algorithm is more effective than the protocol in reducing the average energy consumption of nodes and extending the network lifetime; these features make wireless sensors more beneficial for better management of sporting events as well as better optimization.

scholarly journals On Wireless Sensor Network Lifetime Prolong and Efficient Routing By Energy Path Balancing

2020 ◽  
pp. 668-676
Author(s):  
Asha Vinothini K ◽  
Nandhakumar S
Keyword(s):  
Wireless Sensor Network ◽  
Reducing Power ◽  
Residual Energy ◽  
Initial Energy ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Maximum Capacity ◽  
Basic Activity ◽  
Remote Sensor ◽  
Energy Aware Routing

Remote sensor frameworks (WSN) associations explicit transducers that give distinguishing organizations to Internet of Things (IoT) gadgets with controlled power and limit sources. Since choice or stimulating of batteries in sensor centers is about unreasonable, quality use gets one of the huge structure issues in WSN. Gathering figuring expect a basic activity in power safeguarding for the imperativeness controlled framework. Picking a gathering head can decisively modify the weight inside the framework there by reducing power confirmation and improving lifetime. In this test, we favoring imperativeness careful packing for remote sensor organizes the use of EARR (Energy Aware Routing and Relay Relocation) set of concludes that is applied on the WSN. The show thinks about both power execution and transmission partition, and move center points are used to reduce the lopsided power confirmation of the bundle heads. The proposed show impacts in higher allotted sensors and a suitably balanced bundling contraption improving the system's lifetime. The EARR strategy passes on two shows, which consolidate MCP, based completely EAR and Relay Relocation essentially based EAR. In area I, Transmission go adjusting by the presenting the Maximum Capacity Path based multi ricochet coordinating by using constraining Energy Aware Routing. For the EAR use, need to learn the center points Initial Energy, Residual Energy and Optimum power way. These parameters will ensure the green way and CH levels of leadership to improve the system as a rule execution despite lifetime. The figuring and the reenactment and examine the present R-LEACH and proposed EAR-MCP strategy to the extent throughput, extra quality and inertness with the guide of using NS2 test framework.

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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