ENERGY AND TIMEBASED TOPOLOGY CONTROL APPROACH TOENHANCE THE LIFETIME OF WSN IN AN ECONOMIC ZONE Tanvir Hossain1 Md. Ershadul Haque2 Abdullah Al Mamun1 Samiul Ul Hoque1 Al Amin Fahim1

2025-04-29 0 0 3.35MB 14 页 10玖币
侵权投诉
ENERGY AND TIME BASED TOPOLOGY CONTROL APPROACH
TO ENHANCE THE LIFETIME OF WSN IN AN ECONOMIC ZONE
Tanvir Hossain1, Md. Ershadul Haque2, Abdullah Al Mamun1, Samiul Ul Hoque1, Al Amin Fahim1
1Department of Electrical & Electronic Engineering, Feni University, Feni-3900, Bangladesh.
Email: tanvirhossainzillu@gmail.com, mamun.eee.fu@gmail.com, samiul0906@gmail.com,
mdalaminfahim61@gmail.com
2School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, Australia.
Email: mhaque@csu.edu.au
October 6, 2022
ABSTRACT
An economic zone requires continuous monitoring and controlling by an autonomous surveillance
system for heightening its production competency and security. Wireless sensor network (WSN) has
swiftly grown popularity over the world for uninterruptedly monitoring and controlling a system.
Sensor devices, the main elements of WSN, are given limited amount of energy, which leads the
network to limited lifespan. Therefore, the most significant challenge is to increase the lifespan of a
WSN system. Topology control mechanism (TCM) is a renowned method to enhance the lifespan
of WSN. This paper proposes an approach to extend the lifetime of WSN for an economic area,
targeting an economic zone in Bangladesh. Observations are made on the performance of the network
lifetime considering the individual combinations of the TCM protocols and comparative investigation
between the time and energy triggering strategy of TCM protocols. Results reveal the network makes
a better performance in the case of A3 protocol while using the topology maintenance protocols with
both time and energy triggering methods. Moreover, the performance of the A3 and DGETRec is
superior to the other combinations of TCM protocols. Hence, the WSN system can be able to serve
better connectivity coverage in the target economic zone.
Keywords Wireless Sensor Network, Topology Control Algorithm, Economic Zone, Wireless Communication.
1 Introduction
In the productive infrastructures, i.e, economic zone, industry, garment, farming fields, etc. the measure and taking care
of different types of physical quantities, such as, humidity, temperature, pH level, stress, vibration and so on are the
most important factors that escalate the proficiency of the control system in that target area. Although traditional wired
communication techniques have long been used to support these circumstance, wireless communication techniques are
now being widely utilized due to its convenient implementation, low installation and maintenance cost, etc. Recent
advancements in technologies have been possible to develop autonomous, energy-efficient and intelligent wireless
sensor nodes that can be distributed in large numbers in a geographical territory to make a self-oriented and self-healing
network scenario called wireless sensor network (WSN).
Sensor nodes, the main element of WSN, in general are assumed to have three major ability, namely, sensing,
computation, and wireless communication. The role of sensing capability is to acquire the data of physical quantities
from the environment. On the other hand, necessary data aggregation, control information processing, and managing
of sensing and communication activities are conducted in the computational unit. Wireless communication methods,
finally, transmit as well as receive data and control information from one sensor node to the other node. A sensor
node, at a particular time, remains involved with operating one of finite set probable activities or asleep. Every task
executed by a sensor nodes costs a definite amount of energy, and the nodes in sleeping mode do not execute any task
arXiv:2210.01977v1 [cs.NI] 5 Oct 2022
APREPRINT - OCTOBER 6, 2022
and consume, of course, no amount of energy. However, a sensor node performing in the WSN system subject to several
fundamental curbs as follow [1],
• Each sensor node is not aware of its time identification of fabrication.
•
Sensor nodes are made so that their size can be minimized as possible and produced in mass amount where
testing is a complex procedure.
•
Every sensor nodes given a fixed amount of energy equivalent to its built in power supply expired after its
power being exhausted.
•
Each sensor node has internal timer settings that control it to remain asleep most of the time to save energy
except for some random instants when it wakes up with functionality.
•
The sensor node has considerable transmission range, generally, in meters, that covers a few sensor nodes
deployed in the network.
• It is not feasible or practical to make attention to individual sensor nodes while they are deployed.
The traditional interest in using WSN has focused on high-end applications, i.e. nuclear radiation leakage surveillance,
seismic and climate data monitoring, armed and medical applications, etc. But, the most recent aspects widely
involve the WSN systems to be utilized in the applications extended from the consumers levels to the national and
international security systems. The applications of WSN in existence and potentially being developed include mainly
physical security, pollution protection, agriculture monitoring, traffics management, industrial, production and business
automation, smart home and city, electric power plant and substations, infrastructure monitoring, etc. [2, 3].
The main contributions including this approach cover the following points:
•
To design a WSN system for monitoring and controlling an economic region based on autonomous and
real-time facilities.
•
to find out an optimized solution for the node deployment, with the WSN system making minimum energy
consumption and prolonging its lifetime.
•
To evaluate and compare the performance of the WSN system considering its two maintenance criteria, such
as time and energy.
The remains of this paper are as: Literature Review section summarizes most related works from the part of the literature.
Another section, The Basic Architecture of WSN System, provides an overview of the WSN architecture. Mathematical
Model characterizes the equations and formulas of various models used in WSN system, i.e., communication model,
energy dissipation model, etc. The section, Methodology, provides an insight into the principles, methods and techniques
of this work. The findings and discussions are presented in the section called Performance of the WSN.Conclusion
includes a concise description of the work and a few future directions.
2 Literature review
There are a lot of research works found in the literature on WSN based communication technology, revealing the recent
trends, parameters affecting, application specific domains, constraints, benefits, etc.
The authors introduce a hybrid WSN using two types of sensor nodes, i.e. static and mobile nodes for a mid size urban
city. A web server hosted external database manages all of the gateways to be synchronized. Actually mobile nodes
carries out two major responsibility like data transmitting and concentrating that validate the placement of the gateway
across the deployment. Temperature, humidity, pressure, gases, global positioning system (GPS) tracking, etc. are
allowed to be real time monitored with its associated location in the city [4].
In [
5
], a method by WSN to find out the probability of fire as soon as possible before it is happened in a forest is
proposed. Through this WSN founded detection process, deploying a number of sensor nodes in the forest whereabouts,
forest authority can easily access the remote location of the forest in view to monitoring the climate conditions. These
nodes are categorized into two difference, for example, GPS integrated and not GPS integrated to make the model cost
efficient. High active (HA), medium Active (MA), and low active (LA) zones split a forest into three diverse area. In
order to reserve the energy consumption of the network, HA, continuously and MA, in periodic, communicate with
the base station but LA does not link up with the base station. The system accuracy results in 90% while sensing one
parameter by the nodes.
A watching that the framers have to transcend a colossal loss for imprecise weather prediction and imbalance nursing of
the crops and vegetables is often in the field. A self acting agricultural ambiances surveillance, controlling the relevant
factors in the ground, by WSN may reduce the cost of production and raise the sprouting. Expecting to promote yield, a
2
APREPRINT - OCTOBER 6, 2022
report on WSN based tomato cultivation was presented in paper [
6
]. An automotive irrigation system facilitates the
water management discipline including the control of the water flowing, real time feedback of water level in the storage,
etc. At a 5 seconds interval, the desired data from the farmer comfortable monitoring of agricultural circumstance
become updated to a web server, how a visitor can look after the growing from anywhere.
In view to monitoring the industrial wastewater needed to be discharged, keeping track of potential of hydrogen (pH)
value, oxygen quantity, conductivity, etc., authors demonstrate a cloud unified WSN in [
7
]. It gathers the sensed data in
ThingSpeak, a cloud service, through global system for mobile communications (GSM)/general packet radio service
(GPRS) networking to conduct real time investigation and integration to internet of things (IoT). Telerivet messaging,
a short message service (SMS) notification circulating framework, alerts the occurrence of water pollution to the
respective bodies, appending more benefits to the system.
Countries undergoing rapid industrialization and urbanization are often witnessing an increase in air pollution. Due
to the salvation of hazardous gases, such as carbon monoxide (
CO
), carbon dioxide (
CO2
) and sulfur dioxide (
SO2
),
especially from the industrial establishments, both human health and the environment remain under intimidation over
the years. The aim at [
8
] is to give down a cost and energy effective WSN for looking after the qualities of air in
the environment. The architectures of various components of the system, for example, sensor node, microcontroller,
wireless module, software tool, etc. are detailed in the article. ThingSpeak, too, utilized in this work carries out the real
time data processing to the users. Hierarchical Based Genetic Algorithm (HBGA) set to have an efficacy of the energy,
one of the major Challenges for WSN after the constraint energy of the sensor.
Article [
9
] enunciates a WSN applied noise pollution metering technique’s development proceedings and a noise
hygiene monitoring process. Recently noise pollution concerning vehicles, airplanes, construction apparatus, factories,
electrical devices, etc. has emerged at a menacing level, affecting millions around the world. Sensor’s findings can be
summed in a central database center in order to get real time access to the information required through a graphical
user interface. JTS 13-57 digital sound noise measuring meter including ATmega328 micro controller, GPS, 1.5 Km
transmission capable XBEE are devoted to the architecture of WSN.
Description of a WSN’s development for observing the healthcare’s most pivotal factors is dictated by [
10
]. It incorpo-
rates a centralized node and four sensor nodes, with well instrumented sensing devices, i.e. Humidity, temperature,
CO
,
CO2
, infra-red, etc. sensors. Four sensor nodes and a centralized node need to be equipped in the four patient’s
rooms and the nursing base, respectively in a hospital site. The system is seen to have a root mean squared error of
1.1%, 0.35oC, 0.98% in case of humidity, temperature, and gas, respectively.
The authors provide the article [
11
] with discussing an intelligent method using WSN system for localizing and
estimating boundary of the gas leakage sources in an underground coal quarry. Poisonous and inflammable gases in
the coalmine, for instance, CO, Methane (
CH4
), not only damaging the health but leading to an explosion, rehash
personnels’ life threatening. The concentration magnitude of the area pointed gases is analyzed considering Gaussian
Plume Gas Model (GPGM) to identify the source of leakage, boundary, and gass’ congelation grid map.
[
12
] hosts a representation of the WSN architecture for smart grid that covers the power’s uninterrupted, automated,
and reliable management. Power quality and voltage rising problems was controlled using a dynamic controller. Data
required after being measured on the feeders is provided to a database center through continuously run web server.
WSN can be regarded to be one of the reliable and real time communication systems for military applications, having to
oversee a large remote territory including forces, ammunition, protective weapons, vehicles, etc. [
13
] leaves a WSN
operated military surveillance system to secure the militia bases lying in danger. Nodes’ random deployment and
physical inaccessibility are the two most challenging issues in this case. Hence, the energy effective functions of the
WSN are optimized by an exact node scheduling method.
3 The basic architecture of WSN System
The Open Systems Interconnection (OSI) model, also familiar as Layered Communication Architecture (LCA), is the
most popular architecture adopted by WSN [
14
]. This architecture involves both sink node and source node to take part
into the transmission of data packets.
Materially, OSI/LCA is constructed of five layers, i.e. Application Layer (AL), Transport Layer (TL), Network
Layer (NL), Data Link Layer (DLL), and Physical Layer (PL). Furthermore, three cross-plane layers, such as, Power
Management Plane (PMP), Mobility Management Plane (MMP), and Task Management Plane (TMP) are also integrated
in conjunction with the above mentioned five layers [
15
,
16
]. It is made sense better the concept of a typical WSN
architecture in the figure 1.
PL: It is utilized to produce the interface while transmitting the data packets through a physical channel. The major
tasks of PL are selecting, detecting, and generating frequency. Additionally, electrical and mechanical interfaces are
also described by this layer. IEEE 802.15.4 standard is intended in regard to the layer to prolong the lifetime of the
batteries considering lower energy consumption and cost, simplicity, and communication range etc. for a WSN system
[17].
3
摘要：

ENERGYANDTIMEBASEDTOPOLOGYCONTROLAPPROACHTOENHANCETHELIFETIMEOFWSNINANECONOMICZONETanvirHossain1,Md.ErshadulHaque2,AbdullahAlMamun1,SamiulUlHoque1,AlAminFahim11DepartmentofElectrical&ElectronicEngineering,FeniUniversity,Feni-3900,Bangladesh.Email:tanvirhossainzillu@gmail.com,mamun.eee.fu@gmail.com,s...

展开>> 收起<<
ENERGY AND TIMEBASED TOPOLOGY CONTROL APPROACH TOENHANCE THE LIFETIME OF WSN IN AN ECONOMIC ZONE Tanvir Hossain1 Md. Ershadul Haque2 Abdullah Al Mamun1 Samiul Ul Hoque1 Al Amin Fahim1.pdf

共14页,预览3页

还剩页未读， 继续阅读

声明：本站为文档C2C交易模式，即用户上传的文档直接被用户下载，本站只是中间服务平台，本站所有文档下载所得的收益归上传人(含作者)所有。玖贝云文库仅提供信息存储空间，仅对用户上传内容的表现方式做保护处理，对上载内容本身不做任何修改或编辑。若文档所含内容侵犯了您的版权或隐私，请立即通知玖贝云文库，我们立即给予删除！

相关推荐

更多
立即下载
分类：图书资源 价格：10玖币 属性：14 页 大小：3.35MB 格式：PDF 时间：2025-04-29

开通VIP享超值会员特权

  • 多端同步记录
  • 高速下载文档
  • 免费文档工具
  • 分享文档赚钱
  • 每日登录抽奖
  • 优质衍生服务

作者详情

相关内容

更多

热门标签

人际关系 动力学连接体 力的合成 配电装置 高考理综 全宋诗作者索引 公务员考试
/ 14
评分 收藏
分享
立即下载
客服
关注