A Graphical User Interface based to Energy Efficiency Through Wireless Sensor Network Space

Elhamroni M. H. A., Cansever G.

International Journal of Cooperative Information Systems, vol.10, pp.1-10, 2021 (SCI-Expanded)

  • Publication Type: Article / Article
  • Volume: 10
  • Publication Date: 2021
  • Journal Name: International Journal of Cooperative Information Systems
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Computer & Applied Sciences, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.1-10
  • Yıldız Technical University Affiliated: Yes


For any unprecedented events, Wireless Sensor networks are capable of observing and

monitoring an environment. In such a network, energy efficiency is a major challenging

aspect. As the sensor nodes are limited with a definite energy level of batteries, they are in

need of energy efficient techniques during communication to reduce energy consumption. In

some cases, energy from external environment (like solar energy) probably gets scavenged.

External energy sources show non-continuous performance which probably requires an

energy buffer (i.e., battery). Energy in any form is a very important resource and must be used

very efficiently. This research provides solution for prolonging the network lifetime with

certain energy sources and it further throws light on the ways of how to make it possible by

keeping the coverage and connectivity always. In the proposed research, energy efficient

resource management techniques are developed to prolong the energy level of sensor nodes

using the cluster method. A group of homogeneous sensor nodes forms a cluster and each

cluster is managed by the Cluster Head ( CH) where CH is selected based on the maximum

residual energy. The most important requirement of this research work is to provide an

optimized energy efficient technique in three different network situations. The proposed

Energy Efficient Clustering Mechanism (EECM) with static sink uses a predetermined

network model for data transmission by using multipath routing method for a homogeneous

network. In this system, a CH is selected based on the residual energy and availability of a

path that could connect with the static sink. This mechanism is developed to solve the energy

hole problem. From the simulation results, the proposed systems perform better in terms of

throughput and network lifetime when compared with that of LEACH and ALEACH in a

static sink environment and MODLEACH and M-GEAR in a mobile sink environment.