scholarly journals A Specific Structure of Protocol to Increase the System Lifetime of Wireless Sensor Network

In present time there are many research are going on in the field of wireless sensor network which is defined by software that is known as Software defined wireless sensor network that is used for after the distributing of nodes in the network. . In this research work we propose an algorithm for the energy consumption of software defined wireless sensor network. This algorithm is used for to control of selected nodes in the network that are provide the many task dynamically, to make the system network functional manner . The control nodes in the networks are selected as a Nondeterministic Problem to reduce the energy and transmission distance in the system. The LEACH protocol is very useful protocol ti increase the system lifetime of the network. In this paper we consider the low energy adaptive protocol that combines the ideas of Media Access Control protocol and routing algorithm.

2021 ◽  
Vol 2095 (1) ◽  
pp. 012033
Author(s):  
Lianguo Li ◽  
Kang Ren ◽  
Tanghuai Fan ◽  
Keyong Shen ◽  
Rongqun Hu

Abstract It is the basis for the implementation and scientific management decision of precision irrigation to accurately and comprehensively sense water and rainfall regime, soil moisture content and engineering conditions in irrigation areas and various environmental factors closely related to crop growth. In view of the characteristics of large monitoring range and scattered distribution of measuring points in the irrigation area, based on the analysis of the characteristics of the strip shape layout of the wireless sensor network at the water demand side of the irrigation area, and the limited battery energy and transmission distance under the condition of battery power supply, a clustering routing algorithm based on wireless sensor network for monitoring irrigation area is proposed (known simply as CRAIM algorithm). The formation of clusters, the selection of cluster heads, the routing process between clusters and the sink nodes are studied, and the CRAIM algorithm, EE-LEACH (energy-efficient LEACH) and MMH-LEACH (modified multi-hop LEACH) algorithm are simulated and compared respectively. Experimental results showed that, the new algorithm, CRAIM, has some advantages in the energy consumption of the network.


2018 ◽  
Vol 7 (2.27) ◽  
pp. 138
Author(s):  
Kamini Joshi ◽  
Sandeep Singh Kang

The wireless sensor network is the decentralized type of network which can sense information and pass it to base station. The energy consumption is the major issue of WSN due to small of sensor nodes and far deployment of the network. The clustering is the efficient approach to increase lifetime of the sensor network. In the approach of clustering cluster head are selected for the data aggregation. The fuzzy logic rules are derived based on node energy, distance to base station for the cluster head selection, which increase lifetime of sensor nodes in the existing system. In this research work, cache nodes are deployed in the network which reduce energy consumption of WSN. In the proposed approach cluster head send data to cache nodes and it will forward data to base station. The simulation is performed in MATLAB and proposed technique performs well in terms of number of packets transmitted, number of dead nodes, network lifetime, throughput and remaining energy.  


2014 ◽  
Vol 563 ◽  
pp. 316-319 ◽  
Author(s):  
Yong Chao Liu ◽  
Yue Xia Zhang

Reducing the network energy consumption and increasing the lifetime of network are important content for wireless sensor network. LEACH is an adaptive routing algorithm with low consumption for wireless sensor network. However there are many shortcomings in LEACH routing algorithm such as too much energy consumption of cluster heads and uneven clustering each round. This paper puts forward a new improved algorithm named H-LEACH to solve the problem above. It lets the nodes holding more energy have the high possibility to become cluster-heads through a threshold and constraints the number of clusters each round at the same time so that it can balance the energy distribution and reduce energy cost. Simulation results show that H-LEACH is more energy-efficient than LEACH protocol.


2019 ◽  
Vol 5 (2) ◽  
pp. 164
Author(s):  
Kristoforus Fallo ◽  
Waskitho Wibisono ◽  
Kun Nursyaful Priyo Pamungkas

Development of a grid-based clustering mechanism to improve LEACH performance in the Wireless Sensor Network environmentLow Energy Adaptive Clustering Hierarchy (LEACH) merupakan algoritma routing pada Wireless Sensor Network (WSN) berbasis cluster. LEACH memilih sebuah node sebagai cluster head (CH) yang tugasnya untuk melakukan komunikasi dengan sink maupun guna mengumpulkan data dari member node. Persebaran CH pada LEACH yang dikatakan acak, kadang mengalami masalah mengingat rumus probabilitas pada tiap round. Hal ini akan menyebabkan CH yang terpilih bisa berada di tepi area, juga terjadinya pemborosan energi karena jalur yang terbentuk akan menjadi panjang. Oleh karena itu, kami ingin mengembangkan routing protocol G-LEACH menggunakan teknik merge CH dalam suatu area (grid) disertai beberapa parameter yang relevan, seperti posisi node, node dengan sisa energi terbesar, dan jarak yang dihitung dalam tiga jarak yaitu jarak node menuju cluster center, jarak node menuju merge CH, dan jarak merge CH menuju sink. Hasil pengujian menunjukan bahwa dengan menggabungkan cluster (merge CH) pada transmisi data menuju sink pada protokol G-LEACH dapat menghasilkan masa hidup jaringan yang lebih lama pada seluruh operasi node, energi yang dibutuhkan pada semua node lebih rendah, dan lebih banyak paket data yang dikirim dan diterima oleh sink. Low Energy Adaptive Clustering Hierarchy (LEACH) is a routing algorithm in a cluster-based Wireless Sensor Network (WSN). LEACH selects a node as a cluster head (CH) whose responsibility is for communicating with sinks and collect data from the node members. The distribution of CH on LEACH, which is basically random, sometimes has a problem in remembering the probability formula on each round. This may make the selected CH on the edge of the area as well as generate energy waste because the pathway formed will be lengthy. Therefore, we would like to develop the G-LEACH routing protocol using a merge CH technique in one area (grid) with several relevant parameters, such as the position of the node, the node with the largest remaining energy, and the distance calculated in three distances: the distance of the node to the clustercenter, the distance of the node to the merge CH, and the distance of the merge CH to the sink. The test result showed that combining clusters (merge CH) in the data transmission to the sink in the G-LEACH protocol could produce a longer network life on all node operations, lower energy required for all nodes, and more data package sent and received by the sink.


2014 ◽  
Vol 3 (1) ◽  
pp. 12-16
Author(s):  
Mohit Mungali ◽  
◽  
Rajesh Singh ◽  
Hardwari Lal Mandoria ◽  
◽  
...  

2010 ◽  
Vol 30 (9) ◽  
pp. 2497-2500
Author(s):  
Xiu-li REN ◽  
Jiang-ying DONG ◽  
Jian-sheng XUE

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