Farmer Dissemination of Seeds (FDS) Deployment Method Applied to Simulated Leach Protocol

2021 ◽  
pp. 92-100
Author(s):  
Hesham A. Alabbasi ◽  
Ahmed Salih Mehdi ◽  
Alaa Hussain Altimimy

Recent communication technologies in the Wireless Sensor Networks WSN enable us to implement and construct various physical sensing nodes with electronic circuits for transmitting and receiving tasks. Low-Energy Adaptive Clustering Hierarchy LEACH is a well-known routing protocol used and implemented in researches and articles; also, there are various attempts from the researchers to modify it to achieve the best results. Since almost all of the articles considered deployment either predefined or randomly depleted for the whole reign of interest RoI. A sophisticated random node deployment method is proposed, named Farmer Disseminating the Seeds FDS, the farmer walks with almost uniform steps and parallel lines to cover the whole RoI. A formation of a uniform grid with deviated random local distances from grid crossings considered as a predefined number of normal nodes with one advance node that has double battery energy. FDS is used to improve the importance of deployment methods as an additive parameter in estimating lifetime and energy consumption in routing protocols. Traditional random deployment and FDS methods are compared.

Author(s):  
Meriem Boumassata ◽  
Mohamed Benmohammed

Wireless sensor networks (WSNs) are networks formed by a large number of electronic devices called sensor nodes, where each node is capable of measuring environmental or physical values and communicating data, through wireless links, to a base station. The main problem that WSNs routing protocols face, is that sensors are powered with low power batteries, which plays an important role in network lifetime. Low Energy Adaptive Clustering Hierarchy (LEACH) is a hierarchical cluster based routing protocol that was proposed as a solution for low power consumption in WSNs. One of LEACH protocol limitations is “Extra Transmissions”. This paper studies LEACH protocol, some of its various enhancements and finally proposes a new clustering and selecting cluster head scheme with the goal of optimizing the energy consumption in WSNs.


2014 ◽  
Vol 644-650 ◽  
pp. 3108-3111
Author(s):  
Jing Zhang ◽  
Han Yan ◽  
Yi Cui ◽  
Hui Rong ◽  
Jian Ping Wang

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.


Author(s):  
Yassine Oukessou ◽  
Mohamed Baslam ◽  
Mohamed Oukessou

The low power wide area networks (LPWAN) is the new connectivity technology that is geared towards energy constrained internet of things (IoT) devices, is starting to become one of the drivers of the re-accelerating IoT market and has one goal: ensure the wide range distance while reducing the battery energy consumption. We focus in this paper on the evaluation of the uplink throughput of the long-range wide area networks (LoRaWAN) then we attempt optimize the throughput and power dissipation using low energy adaptive clustering hierarchy (LEACH) protocol. Therefore, we exploit a novel module developed in NS-3 simulator for obtaining the first measurements scenario, then the LEACH algorithm for the second optimization case. As result, the simulation analysis will help us to add a new LoRaWAN routing protocol feature.


Author(s):  
Adnan Rashid ◽  
Osman Hasan

Smart grids provide a digital upgradation of the conventional power grids by alleviating the power outages and voltage sags that occur due to their inefficient communication technologies and systems. They mainly tend to strengthen the efficiency, performance, and reliability of the traditional grids by establishing a trusted communication link between their different components through routing protocols. The conventional methods, i.e., the computer-based simulations and net testing, for analyzing these routing network protocols are error-prone and thus cannot be relied upon while analyzing the safety-critical smart grid systems. Formal methods can cater for the above-mentioned inaccuracies and thus can be very beneficial in analyzing communication protocols used in smart grids. In order to demonstrate the utilization and effectiveness of formal methods in analyzing smart grid routing protocols, we use the UPPAAL model checker to formally model the ZigBee-based routing protocol. We also verify some of its properties, such as, liveness, collision avoidance and deadlock freeness.


2014 ◽  
Vol 610 ◽  
pp. 927-932
Author(s):  
Ahmed Rouaba ◽  
Nouamane Soualmi ◽  
He Zun Wen

A wireless sensor network (WSN) consists of large number of autonomous sensors nodes; these nodes communicate with each other in dispersed manner to observe the environment. WSNs become one of the most important researches in modern communication systems. The energy source of nodes is limited and practically it is impossible to change or charge the battery. In order to save energy and increases the life time of battery in WSNs. Many energy routing protocols using the clustering were proposed in the literature. Low Energy Adaptive Clustering Hierarchy (LEACH) is the most famous routing protocol. In this paper we propose a new algorithm to choose the cluster head which has the highest energy. We shared the network to four regions, between them 90° for each part we find the powerful sensor between the sensors groups, and this last will be the cluster head of this round. Each sensor sends its data to the nearest cluster head and this last will send it to the sink. The same work for five and six clusters heads with sink in the center and in the corner (100, 0) is done.


2021 ◽  
Vol 4 (2) ◽  
pp. 25
Author(s):  
Anupkumar Bongale ◽  
Arunkumar Bongale ◽  
Satish Kumar ◽  
Rahul Joshi ◽  
Kishore Bhamidipati

Efficient energy utilization and network life prolongation are primary objectives to be considered when designing a Wireless Sensor Network. Cluster-based routing protocols are most suitable for achieving such goals. Energy and Optimal Inter Cluster Head Distance (EOICHD) is a cluster-based hierarchical routing protocol inspired by the Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol. EOICHD resolves the problems associated with LEACH protocol, such as selecting cluster head nodes in close proximity. By carefully selecting the cluster head nodes based on residual energy and optimal inter-cluster head distance, EOICHD ensures that selected cluster head nodes are separated by a certain optimal distance. This approach ensures uniform distribution of cluster head nodes across the entire network. The study of the EOICHD protocol presented so far is not sufficient. Hence, in this paper, we propose three variants of EOICHD protocol to understand its behavior in a better manner. A comparative analysis of all three EOICHD variants, LEACH and LEACH-central constrained (LEACH-C) protocol, is performed by considering comparative parameters such as alive nodes, cumulative network energy, data packets arrived at the base station, and stability of the network.


2021 ◽  
pp. 406-410
Author(s):  
Tuyen Nguyen Viet ◽  
◽  
Trang Pham Thi Quynh ◽  
Hang Duong Thi

In Wireless Sensor Networks (WSNs), maximizing the life of the Sensor Nodes (SNs), and energy conservation measures are essential to enhance the performance of the WSNs. A Low-Energy Adaptive Clustering Hierarchy (LEACH) routing protocol has been proposed specifically for WSNs to increase the network lifetime. However, in LEACH protocol the criteria for clustering and selecting Cluster Heads (CHs) nodes were not mentioned. Accordingly, researchers have been focusing on ways to strengthen the LEACH algorithm to make it more efficient. In this paper, we propose to improve the LEACH protocol by combining the use of K-means algorithm for clustering and Slime Mould Algorithm (SMA), a new stochastic optimization to select nodes as CHs. The proposed routing algorithm, called SMA-LEACH, is superior to other algorithms, namely PSO-LEACH, BA-LEACH, which using Particle Swarm Optimization (PSO), Bat Algorithm (BA) to improve LEACH, respectively. Simulation analysis shows that the SMA-LEACH obviously reduces network energy consumption and extends the lifetime of WSNs.


Author(s):  
Fatima Es-sabery ◽  
Hicham Ouchitachen ◽  
Abdellatif Hair

The hierarchical routing of data in WSNs is a specific class of routing protocols it encompasses solutions that take a restructuring of the physical network in a logical hierarchy system for the optimization of the consum-ption of energy. Several hierarchical routing solutions proposed, namely: the protocol LEACH (Low Energy Adaptive Clustering Hierarchy) consist of dividing the network in distributed clusters at one pop in order of faster data delivery and PEGASIS protocol (Power-Efficient Gathering in Sensor Information Systems) which uses the principle of constructing a chain’s sensor node. Our contribution consists of a hierarchical routing protocol, which is the minimization of the energy consumption by reducing the transmission distance of data and reducing the data delivery time. Our solution combines the two hierarchical routing approaches: chain based approach and the cluster based approach. Our approach allows for multi-hop communications, intra- and intercluster, and a collaborative aggregation of data in each Cluster, and a collaborative aggregation of data at each sensor node<strong>.</strong>


Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4579 ◽  
Author(s):  
Yang Liu ◽  
Qiong Wu ◽  
Ting Zhao ◽  
Yong Tie ◽  
Fengshan Bai ◽  
...  

Cluster-based hierarchical routing protocols play an essential role in decreasing the energy consumption of wireless sensor networks (WSNs). A low-energy adaptive clustering hierarchy (LEACH) has been proposed as an application-specific protocol architecture for WSNs. However, without considering the distribution of the cluster heads (CHs) in the rotation basis, the LEACH protocol will increase the energy consumption of the network. To improve the energy efficiency of the WSN, we propose a novel modified routing protocol in this paper. The newly proposed improved energy-efficient LEACH (IEE-LEACH) protocol considers the residual node energy and the average energy of the networks. To achieve satisfactory performance in terms of reducing the sensor energy consumption, the proposed IEE-LEACH accounts for the numbers of the optimal CHs and prohibits the nodes that are closer to the base station (BS) to join in the cluster formation. Furthermore, the proposed IEE-LEACH uses a new threshold for electing CHs among the sensor nodes, and employs single hop, multi-hop, and hybrid communications to further improve the energy efficiency of the networks. The simulation results demonstrate that, compared with some existing routing protocols, the proposed protocol substantially reduces the energy consumption of WSNs.


Author(s):  
Ms. Pranali Ikharkar

In this Paper Wireless Sensor Networks (WSNs) have exploded in popularity in recent years as one of the fastest-growing developing technologies for delivering data over the internet. WSN is rapidly expanding its branches in practically every field of science and technology today. The WSN is made up of several tiny nodes that handle sensing, data collecting, aggregation, compression, and transmission. Because the sensor nodes are so small, the little battery only has a limited amount of power. As a result, the key issue for WSN is to effectively employ this insufficient battery capacity to extend the sensor networks' lifetime while reducing energy usage. However, when it comes to numbers, However, a number of advanced clustered routing protocols have already been used in WSN to reduce the amount of energy consumed. The study's main goal is to improve the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol by implementing a new clustering routing topology. The process for selecting cluster heads in our proposed model is identical to that used in the standard Leach protocol. We have, however, partitioned the network's whole area into many rectangle dispersed sections. The LEACH algorithm was used in each area.


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