TOPOLOGY – BASED APPROACH EVALUATION FOR WIRELESS SENSOR NETWORK IN WASTE MANAGEMENT MONITORING. Maybe the guidance for the flow of project is also enough to understand about the project. *Explain on

T O P O L O G Y – B A S E D A P P R O A C H E V A L U A T I O N F O R W I R E L E S S S E N S O R N E T W O R K I N W A S T E M A N A G E M E N T M O N I T O R I N G A B S T R AC T • Wireless Sensor Network (WSN) is used to gather data and analyze the environmental conditions like vibration , motion, sound, temperature and more. • The design of WSN depends on specific application requirements such as power consumption, efficiency of energy and life longevity in a system. • To manage and control the environmental conditions which improves in the schedule maintenance of the waste management system. • Topologies rules how a sensor node communicates with other sensor node in a network. There are many types of topology pattern like bus, hybrid, tree, ring and more. • The aim is to study topologies for WSN while identify the best and suitable topology in comparing the performances among of the topology pattern especially in the waste management monitoring purposes. Wireless Sensor Network Sink Node Display system (waste management monitoring) Sensor Nodes P RO B L E M S TAT E M E N T The design of a WSN depends on the specific application requirements for waste monitoring . H aving a reliable waste management monitoring system, it is crucial to look after few aspects of WSN system like ensuring the life longevity, enhance the power consumption and efficiency of the energy that used in the WSN system . O B J E C T I V E To propose the best WSN topology that can enhance the power consumption for a waste management monitoring system . To evaluate the performance of the WSN topology in terms of its energy efficiency and life longevity . S C O P E O F WO R K Focus on choosing the best topology for the wireless sensor network that can provide best performance especially in the waste management monitoring . The topology proposed should be able to satisfy the characteristics of life longevity, efficient in the energy and power consumption . The parameters to be evaluated such as nodes, size of packet transmission and energy consumption . This study is proposed on the use of MATLAB/OPNET to study the algorithm of the WSN topology and make some analysis on the performance of the proposed topology . S I G N I F I C A N C E • Environmentally friendly . Moreover, it is not bringing unhealthy effects to human and the environment . • It is highly reliable and much protected . • System has an influence on the impact of wireless sensor networks, in order highly recommend for eco -design . • The data transfer through sensor is not contaminating the environment . • Safe to use . • WSN suitable for the non -reachable places like mountains, over the sea, rural areas and deep forests . • It avoids plenty of wiring and save cost . • WSN is a flexible network and can adapt to the changes . B AC K G RO U N D S T U DY Wireless Sensor Network is broadly used to monitor physical and environmental conditions. Since topology determines the form of routing paths inherently, it indicates whether to use broadcast or unicast, deciding packet sizes and types and other overheads. Choosing the correct topology helps to minimize the amount of contact necessary for a specific problem and thus save resources. An effective topology that guarantees that neighbours are at a minimum distance and will decrease the possibility of message being lost between sensors. Each topology has its own advantages and weakness under a specific working environment. Performance comparison and analyses of different topologies is made in terms of throughput, end to end delay and packet drop rates. L I T E R AT U R E R E V I E W Year Author Topology Pattern Advantage Weakness 2013 [1] Shamneesh Sharma, Dinesh Kumar & Keshav Kishore Point to Point Has a high capacity wireless link between two sensors and secure path for communication . Communication between two nodes will be reducing when there is failure in the channel . 2015 [2] Nivedita Bisht & Sapna Singh Bus Suitable for small and temporary network . Easy to implement and less expensive . Heavy network traffic can slow down the bus and difficult to administer . 2016 [3] Francis Pol Lim Ring/Chain Has a high performance for a small number of workstations . There is no signal loss because the tokens are the data packets which will be regenerate at each node . More expensive, need more time and effort to install . Difficult to find out the fault . 2008 [4] Brett Meador Star Failure in the connection between the top level nodes will not interrupt the whole network . Need more cables and has limited number of top level node connection . Year Author Topology Pattern Advantage Weakness 2015 [5] Ziyad Khalaf Farej & Ali Maher Abdul -Hameed Mesh Most flexible among all the topology . Failure can be heal through ZigBee’s healing mechanism and search an alternate path for message to take . Expensive . Cannot be use in more connection network . 2019 [6] Ayad Hameed Mousa , Nibras Talib Mohammed & Enas Ali Mohammed Hybird Errors can be detected in an easy way . More flexible . Difficult to troubleshoot and requires more cabling between its hardware device . 2014 [7] Vikram Singh & Jaspal Ramola Tree Failure in network can be detected . To be installing and configure of network is easy . Failure in the central hub will stop the entire network . BLOCK DIAGRAM M E T H O D O L O G Y Wireless Sensor Network Suitable Topology MATLAB/OPNET Simulation Testing Collecting Data Compare Data Analysis FLOWCHART Stage 1: Literature Review - Fundamental aspects of WSN and topologies - relevant previous research Stage 2: Choosing Suitable Topology Stage 3: Simulation and Optimization - Using MATLAB/OPNET software, optimization of the WSN performance analysis and parametric analysis. Stage 4: WSN Testing - Test and diagnose. Stage 5: Data Analysis S TAG E S  Best topology is chooses for WSN .  Evaluate and analyze the energy use .  Measure and analyze the lifetime of network .  Analyze and evaluate the power consumption in monitoring waste management . P RO J E C T O U T C O M E F U T U R E WO R K I N P S M 2 • The other performances will be analyse. • The parametric analysis will carried out. • Compare the performance of topology. • Simulation and the measurement will be recorded. • Data Analysis R E F E R E N C E S • [1] Shamneesh , S. Dinesh, K. Keshav , K. (2013). Wireless Sensor Networks - A Review on Topologies and Node Architecture. JSCE International Journal of Computer Sciences and Engineering. Research Vol 1, 19 -25. • [2] Nivedita , B. Sapna , S. (2015). Analytical study of Different Network Topologies. International Research Journal of Engineering and Technology (IRJET). Research Vol 2, 88 -90. • [3] Francis, P, L. (2016). A Review -Analysis of Network Topologies for Microenterprises. Advanced Science and Technology Letters. Research Vol 135, 175 -180. • Doi : 10.14257/astl.2016.135.42. • [4] Brett, M. (2008). A Survey of Computer Network Topology and Analysis Examples. • [5] Ziyad , K, F. Ali, M, A, H. (2015). Performance Comparison among (Star, Tree and Mesh) Topologies for Large Scale WSN based IEEE 802.15.4 Standard. International Journal of Computer Applications. Research Vol 124, 41 - 44. • [6] Ayad , H, M. Nibras , T, M. Enas , A, M. (2019). An Evaluation Framework for Computer's Network Topologies. International Conference on Applied Science and Technology. DOI: 10.1063/1.5123126. • [7] Vikram , S. Jaspal , R. (2014). Computer Network Topology. International Journal for Research in Applied Science & Engineering Technology (IJRASET). Research Vol 2, 384 -389. • [8] Quazi , M. (2012). A Qualitative Comparison of Different Logical Topologies for • Wireless Sensor Networks. Computing and Mathematics. • [9] Paul, M. A. Matin . (2011). Optimal Geometrical Sink Location Estimation for Two Tiered. Wireless Sensor Networks, IET Wireless Sensor Systems. Research Vol. 1, 74 -84. • DOI: 10.1049/iet -wss.2010.0073. • [10] Yuanjun Wu. (2018). The Topology of a Wireless Sensor Network Based on the • Perception Needs. iJOE . Research Vol. 14, No. 2. DOI: 10.3991/ijoe.v14i02.8200. • [11] Miriam, C, M. Ernesto, L, M. Mario, S. (2016). Wireless Sensor Networks Formation: Approaches and Techniques. Research Vol 2, 1 -18. DOI: 10.1155/2016/2081902. • [12] Jeremy, B. Alan, L. Fabrice, M. Daniel, B. (2011). Environmental Impact Assessment Model for Wireless Sensor Networks. DOI: 10.1007/978 -3-642 -19692 -8_22. T H A N K YO U