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College of Computer Science and Engineering


Information & Computer Science Department


Presents Public Seminar


Multi-objective Deployment of Wireless Sensor Networks in 3D Environment using Metaheuristic



Date: Wednesday, 3rd March, 2021

Time:  03:30 pm – 4:15 pm

Location: MS Teams Link: Click here to join the meeting



Ahmed Bawazir



Wireless Sensor Networks (WSNs) are expected to serve different types of environmental monitoring applications. Sensors in such applications have limited energy supply and processing power. They are also deployed in unattended areas. Randomly, deploying large number of nodes or using relay and cluster head nodes to improve communication efficiency could result in increasing the overall cost of the network with no guarantees on energy efficiency. Therefore, to achieve better communication and extend the lifetime of the network, nodes must be deployed in a careful manner. Extending network lifetime while maximizing energy efficiency and minimizing network cost is a challenging task due to the conflicting nature of these objectives. It is even more challenging when nodes are deployed in 3-D dimensional space.

In, this work, we propose a 3-D WSNs deployment based on heuristic optimization approach in order to achieve an approximate solution for a set of desired objectives, extending network lifetime, maximizing connectivity and reducing cost. Based on a two-layer hierarchical structure, which consists of sensor nodes, clusters heads and the base station, a genetic algorithm is used to optimize the positions (placement) of cluster heads to achieve the objectives. We have proposed a multi-objective function to evaluate the generated solutions. In addition, a simulation evaluation of different deployment scenarios was carried out using MATLAB to assess the proposed scheme using Genetic Algorithm (GA) and Binary Particle Swarm Optimization (BPSO).


Speaker Bio:

Mr. Ahmed Bawazir is a PhD student with the computer engineering department at KFUPM. He received his MS degree from KFUPM in computer networks (2018). His master thesis topic was related to wireless sensor networks.



All faculty, researchers and graduate students are invited to attend.


Information & Computer Science Department, College of Computer Sciences and Engineering

Telephone: +966 (13) 860 2175, Email:, Website:


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03 Mar 2021


03:30 PM to 04:15 PM