Energy Saving Algorithm Research Based on Interior Monitoring System

2014 ◽  
Vol 607 ◽  
pp. 681-684
Author(s):  
Kai Zhu ◽  
Yin Cheng Liang ◽  
Xu Qiao
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Energy Saving ◽  
Monitoring System ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Simulation Test ◽  
Saving Algorithm ◽  
Reducing Energy

Energy consumption is a main area in wireless sensor network researching. Interior monitoring system is designed by organized ZigBee wireless network. Address assignment mechanism is put forward and the result about sensor nodes is displayed. Aiming at the problems of LEACH algorithm that all nodes will be assigned cluster head, this paper proposes the algorithm that cluster head projected in first every round is effective until the next round so that reducing energy consumption in competition about cluster head. Through the simulation test, network address assignment is normal, data can be displayed through LED, and network telecommunication is stable.

Equilibrate and Minimize the Energy Consumption in a Cluster for Routing Protocols in Wireless Sensor Network

2016 ◽  
Vol 5 (1) ◽  
pp. 46-58 ◽  
Author(s):  
Wassim Jerbi ◽  
Hafedh Trabelsi ◽  
Abderrahmen Guermazi
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Routing Protocols ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Range ◽  
Minimum Number ◽  
High Connectivity ◽  
Very High

The Cluster Head is selected on the basis of maximum number of nodes connected, thus several sensor nodes cannot reach any CH, even though they are in the transmission range. These nodes are called the isolated nodes. To solve this problem, the proposed a sub_cluster protocol, its role is to reduce the sensor nodes which do not belong the cluster. The major novel contribution of the proposed work is the sub_cluster protocol which provides coverage of the whole network with a minimum number of isolated nodes and has a very high connectivity rates. The sub_cluster protocol allows firstly with great cluster can be grouped many sub_cluster protocol connected to major CH, each sub_cluster protocol, can be connected of the maximum nodes non CH.

scholarly journals An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network

2019 ◽  
Vol 9 (6) ◽  
pp. 5360
Author(s):  
Wan Isni Sofiah Wan Din ◽  
Asyran Zarizi Bin Abdullah ◽  
Razulaimi Razali ◽  
Ahmad Firdaus ◽  
Salwana Mohamad ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Data Transmission ◽  
Cluster Head ◽  
Threshold Value ◽  
Path Selection ◽  
Sensor Nodes ◽  
Wireless Sensor

<span lang="EN-US">Wireless Sensor Network (WSN) is a distributed wireless connection that consists many wireless sensor devices. It is used to get information from the surrounding activities or the environment and send the details to the user for future work. Due to its advantages, WSN has been widely used to help people to collect, monitor and analyse data. However, the biggest limitation of WSN is about the network lifetime. Usually WSN has a small energy capacity for operation, and after the energy was used up below the threshold value, it will then be declared as a dead node. When this happens, the sensor node cannot receive and send the data until the energy is renewed. To reduce WSN energy consumption, the process of selecting a path to the destination is very important. Currently, the data transmission from sensor nodes to the cluster head uses a single hop which consumes more energy; thus, in this paper the enhancement of previous algorithm, which is MAP, the data transmission will use several paths to reach the cluster head. The best path uses a small amount of energy and will take a short time for packet delivery. The element of Shortest Path First (SPF) Algorithm that is used in a routing protocol will be implemented. It will determine the path based on a cost, in which the decision will be made depending on the lowest cost between several connected paths. By using the MATLAB simulation tool, the performance of SPF algorithm and conventional method will be evaluated. The expected result of SPF implementation will increase the energy consumption in order to prolong the network lifetime for WSN.</span>

scholarly journals Energy Efficient Receiver Signal Strength Indicator Based Clustered Routing Algorithm for Wireless Sensor Network

2020 ◽  
Vol 9 (3) ◽  
pp. 2590-2593
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Signal Strength ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Head Node

Robust and efficient algorithms for routing and other process for a wireless sensor network are under active development due to technological advancements on wireless transmission systems. Each of the sensor nodes in a wireless sensor network either transmits or forwards the data packets to the base station. The main objective of the majority of the work in the literature is to save the energy consumption efficiently. The cluster based routing mechanism helps to achieve low energy consumption within the network. The network organizes its nodes as a cluster and selects a particular node as cluster head to manage the transmission within and between clusters. The majority of the clustering approach selects the cluster head using a thresholding based approach. Nodes having energy level higher than the threshold are the candidates for the cluster head selection. In the proposed approach the nodes remaining energy and the sum of distance between individual nodes to the cluster head node is considered. Optimal cluster head selection will help to increase the overall life time of the network. The distance between the sensor nodes is estimated using RSSI (Received Signal Strength Indicator) and other parameters measured from the physical layer. Experiments are conducted with simulation environment created with the NS-2 simulator and efficiency of the approach is analyzed in detail.

Equilibrate and Minimize the Energy Consumption in a Cluster for Routing Protocols in Wireless Sensor Network

2020 ◽  
pp. 582-595
Author(s):  
Wassim Jerbi ◽  
Hafedh Trabelsi ◽  
Abderrahmen Guermazi
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Range ◽  
Minimum Number ◽  
High Connectivity ◽  
Very High

The Cluster Head is selected on the basis of maximum number of nodes connected, thus several sensor nodes cannot reach any CH, even though they are in the transmission range. These nodes are called the isolated nodes. To solve this problem, the proposed a sub_cluster protocol, its role is to reduce the sensor nodes which do not belong the cluster. The major novel contribution of the proposed work is the sub_cluster protocol which provides coverage of the whole network with a minimum number of isolated nodes and has a very high connectivity rates. The sub_cluster protocol allows firstly with great cluster can be grouped many sub_cluster protocol connected to major CH, each sub_cluster protocol, can be connected of the maximum nodes non CH.

scholarly journals An Event-Aware Cluster-Head Rotation Algorithm for Extending Lifetime of Wireless Sensor Network with Smart Nodes

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4060 ◽  
Author(s):  
Marcin Lewandowski ◽  
Bartłomiej Płaczek
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Head Rotation ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Smart Sensor ◽  
Cluster Head Rotation

Smart sensor nodes can process data collected from sensors, make decisions, and recognize relevant events based on the sensed information before sharing it with other nodes. In wireless sensor networks, the smart sensor nodes are usually grouped in clusters for effective cooperation. One sensor node in each cluster must act as a cluster head. The cluster head depletes its energy resources faster than the other nodes. Thus, the cluster-head role must be periodically reassigned (rotated) to different sensor nodes to achieve a long lifetime of wireless sensor network. This paper introduces a method for extending the lifetime of the wireless sensor networks with smart nodes. The proposed method combines a new algorithm for rotating the cluster-head role among sensor nodes with suppression of unnecessary data transmissions. It enables effective control of the cluster-head rotation based on expected energy consumption of sensor nodes. The energy consumption is estimated using a lightweight model, which takes into account transmission probabilities. This method was implemented in a prototype of wireless sensor network. During experimental evaluation of the new method, detailed measurements of lifetime and energy consumption were conducted for a real wireless sensor network. Results of these realistic experiments have revealed that the lifetime of the sensor network is extended when using the proposed method in comparison with state-of-the-art cluster-head rotation algorithms.

scholarly journals Improved LEACH protocol using cache nodes for wireless sensor network

2018 ◽  
Vol 7 (2.27) ◽  
pp. 138
Author(s):  
Kamini Joshi ◽  
Sandeep Singh Kang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Research Work ◽  
Cluster Head ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Distance ◽  
Leach Protocol

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.  

scholarly journals TRACKING OF MOVING OBJECT IN WIRELESS SENSOR NETWORK

2015 ◽  
pp. 42-47
Author(s):  
D. CHARANYA ◽  
G. V. UMA
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Base Station ◽  
Moving Object ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Current Location

A Wireless Sensor Network is a collection of sensor nodes distributed into a network to monitor the environmental conditions and send the sensed data to the Base Station. Wireless Sensor Network is one of the rapidly developing area in which energy consumption is the most important aspect to be considered while tracking, monitoring, reporting and visualization of data. An Energy Efficient Prediction-based Clustering algorithm is proposed to track the moving object in wireless sensor network. This algorithm reduces the number of hops between transmitter and receiver nodes and also the number of transmitted packets. In this method, the sensor nodes are statically placed and clustered using LEACH-R algorithm. The Prediction based clustering algorithm is applied where few nodes are selected for tracking which uses the prediction mechanism to predict the next location of the moving object. The Current Location of the target is found using Trilateration algorithm. The Current Location or Predicted Location is sent to active Cluster Head from the leader node or the other node. Based on which node send the message to the Cluster Head, the Predicted or Current Location will be sent to the base station. In real time, the proposed work is applicable in traffic tracking and vehicle tracking. The experiment is carried out using Network Stimulator-2 environment. Simulation result shows that the proposed algorithm gives a better performance and reduces the energy consumption.

scholarly journals Routing Algorithm using Fuzzy Logic Based Clustering with Mobile Sink for Wireless Sensor Network

2019 ◽  
Vol 8 (4) ◽  
pp. 4000-4005
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Life Time ◽  
Mobile Sink ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Node Degree

Minimization of the energy consumption in Wireless Sensor Network (WSN) is one of the most important area which has been explored by researchers through different methods. The use of non-stationary mobile sink has undoubtedly decreased the energy consumption within the sensor nodes and hence the life time of the system. Applying the Fuzzy Logic could effectively optimize the selection of Cluster Head. In this paper, Fuzzy Logic has been implemented for Cluster Head selection along with a mobile sink. The energy remaining in the sensor node, distance between the sink and the node, and the node degree are considered as the fuzzy inference variables. The life time of the node has been compared with the LEACH and Fuzzy logic based Clustering Combined with Mobile Sink (FCCMS) with mobile sink.

Performance Analysis of RNC Clustering Protocol in Wireless Sensor Network

2019 ◽  
Vol 10 ◽  
Author(s):  
Piyush Rawat ◽  
Siddhartha Chauhan
Keyword(s):  
Energy Consumption ◽  
Network Performance ◽  
Energy Levels ◽  
Cluster Head ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Threshold Function ◽  
Efficient Manner ◽  
Clustering Protocol

Background and Objective: The functionalities of wireless sensor networks (WSN) are growing in various areas, so to handle the energy consumption of network in an efficient manner is a challenging task. The sensor nodes in the WSN are equipped with limited battery power, so there is a need to utilize the sensor power in an efficient way. The clustering of nodes in the network is one of the ways to handle the limited energy of nodes to enhance the lifetime of the network for its longer working without failure. Methods: The proposed approach is based on forming a cluster of various sensor nodes and then selecting a sensor as cluster head (CH). The heterogeneous sensor nodes are used in the proposed approach in which sensors are provided with different energy levels. The selection of an efficient node as CH can help in enhancing the network lifetime. The threshold function and random function are used for selecting the cluster head among various sensors for selecting the efficient node as CH. Various performance parameters such as network lifespan, packets transferred to the base station (BS) and energy consumption are used to perform the comparison between the proposed technique and previous approaches. Results and Discussion: To validate the working of the proposed technique the simulation is performed in MATLAB simulator. The proposed approach has enhanced the lifetime of the network as compared to the existing approaches. The proposed algorithm is compared with various existing techniques to measure its performance and effectiveness. The sensor nodes are randomly deployed in a 100m*100m area. Conclusion: The simulation results showed that the proposed technique has enhanced the lifespan of the network by utilizing the node’s energy in an efficient manner and reduced the consumption of energy for better network performance.

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