Modeling the Behavior of Wireless Linear Sensor Networks
Prof. Dr. Saad Talib Hasson Aljebori
Wireless sensor networks (WSNs) have been widely recognized as a promising technology that can enhance various aspects of infrastructure monitoring. WSNs are widely used in monitoring and tracking systems. Wireless sensor nodes are a key technology that is commonly applied in many useful real-world applications. WSN applications can be created by distributing a number of sensors in different deployment approaches. Most applications of wireless sensor networks require reliable and timely data communication with a maximum possible network lifetime under a low traffic regime. These requirements are very critical, especially for the stability of wireless sensor and actuator networks.
There are special environments that require specific network structures. In monitoring pipelines, bridges, tunnels, railways, border lines, and highways, a special class of WSN in which nodes are deployed in linear structures can be proposed to form a linear wireless sensor network (LWSN) that extends to a long distance area. In wireless sensor networks, node placement plays a significant role in terms of meeting design goals, such as cost effectiveness, connectivity, lifetime, and data latency. For example, in tunnel environments, the energy consumption of sensor nodes and relay nodes is imbalanced because of the long and narrow shape of tunnels.
WSNs can be deployed in different fields in order to provide online insights into the surroundings of the observed infrastructure. In some critical applications, WSN can form a linear or semi-linear network topology, which is called a Linear Wireless Sensor Network (LWSN). LWSN is one of the special classes of the network topology for WSNs. In addition, LWSNs have unique features such as long distance and narrow networks compared to other network topologies. In LWSN, sensor nodes are distributed in a linear structure with a narrow region along the network with a distance that reaches hundreds of kilometers. Therefore, it’s not possible to communicate with the sink in single hop form. Moreover, traffic generated by sensors far from the sink will have to use other nodes to transfer their generated traffic.
Therefore, data traffic will be delivered with a significant delay. The schemes for balancing energy in WSNS are not suitable for LWSN as nodes in LWSN have unique characteristics. Nodes near the sink deplete their energy quickly as they deal with heavy traffic compared with other nodes in the network. Load balancing between sensor nodes in LWSN is a challenge.
Biography: Prof. Dr. Saad Talib Hasson Aljebori
A Professor in Electrical and Electronic Engineering and with a PhD in Network Modeling and Simulation. An expert in simulating vehicular networks, wireless sensor networks, and optimization. A researcher and post-graduate student supervisor in the department of Networks-College of Information Technology-University of Babylon-Iraq.
Scopus Author ID: 55386503400
Researcher ID: N-2213-2018
Orcid.org/0000-0003-2230-8375
EDAS Identifier 947483
https://scholar.google.com/citations?user=-3b98BMAAAAJ&hl
E-mail Saad_aljebori@itnet.uobabylon.edu.iq, saad.aljebori@gmail.com
The College of Information Technology
The University of Babylon
Iraq
Engineering Application of Bioenergy Systems, Developments, and Challenges
Assoc. Prof. Dr. Obed Majeed Ali
Bioenergy is one of the most important research fields in meeting global future energy demands. This contribution can be extended significantly in the near future by reducing greenhouse gas emissions and saving the environment, as well as improving trade balances, contributing to energy security, and providing opportunities for the economic development of society in rural areas. Bioenergy is the only renewable source that can replace fossil fuels in all energy markets in the production of heat, electricity, and fuels for transport. Many bioenergy principles can be used to convert biomass feedstock into final bioenergy products. A wide variety of conversion technologies are under construction, with improved competence, lower costs, and improved environmental protection. However, the possible competition between raw materials for bioenergy and other biomass applications must be carefully considered. Logistics and infrastructure issues should be spoken off, and there is a need for further scientific innovations leading to more competent and cleaner conversion of more assorted feedstock.
Biography – Assoc. Prof. Dr. Obed Majeed Ali
I obtained Bachelor of Mechanical Engineering (Hons) in 2000 and a Master of Science in Mechanical Engineering in 2002 from the Department of Mechanical Engineering/College of Engineering at Mosul University, Iraq. Dr. Obed Majeed Ali obtained his Doctor of Philosophy in Mechanical Engineering (Renewable Energy and Alternative Fuel) in 2014 from the University of Malaysia Pahang, Malaysia. After finishing his PhD, he worked as a senior lecturer at the Faculty of Mechanical Engineering at the University of Malaysia Pahang, Malaysia. He supervised many PhD and Master students and published more than 100 technical papers in very reputable journals and international conferences in the areas of renewable energy utilization, alternative fuels, energy efficiency, engine performance, exhaust emissions, and fuel additives. Dr. Obed Majeed Ali currently works at the Northern Technical University, Iraq. His present research interests are renewable energy utilization, biofuel, combustion and emissions IC engines, alternative future green fuel, fuel additives, and environmental pollution. Dr. Obed Majeed Ali is a Chartered Engineer (CEng) with the Institute of Mechanical Engineers (IMechE) of the UK and is also registered with the American Association for Science and Technology (AASCIT), USA and the Iraqi Engineers Society, Iraq. He has been listed as one of the Top 2% of Scientists Worldwide Identified by Stanford University in 2021.