Autors: Samal, S.R., Bandopadhaya, S., Pathy, A., Poulkov, V. K., Mihovska, A.
Title: An Energy Efficient Head Node Selection for Load Balancing in A Heterogeneous Wireless Sensor Network
Keywords: Cluster-head; Energy Efficiency; Lifetime; Stable Election Protocol; Wireless Sensor Network

Abstract: Wireless sensor networks (WSN) are a type of network where different wireless sensors nodes are distributed in a given region for the collection and transmission of various types of information to other nodes or to a final destination. Such scenario is characterized by limited resources, which impacts the network lifetime and the reliable data propagation. This paper assumes a scenario of heterogeneous nodes clustered hierarchically according to their energy. The paper proposes a novel approach to maximize the WSN lifetime by combining energy-awareness and load-balancing in heterogeneous WSNs. We implement a stable election protocol (SEP)jointly with a load balancing protocol (LEACH) to enable even distribution of the load based on the energy capabilities of each node. Results are shown in terms of The performance has been shown in terms of number of transmitted packets and number of nodes staying alive after a given number of rounds.

References

    Issue

    in Proceedings of Asilomar Conference on Signals, Systems and Computers (ACSSC), 28-31 October 2018; Conference Record of the Asilomar Conference on Signals, Systems and Computers, vol. 2018-October, pp. 1428-1433, 2018, United States, IEEE Computer Society, DOI 10.1109/ACSSC.2018.8645428

    Copyright IEEE

    Цитирания (Citation/s):
    1. Khriji, S., Ammar, M.B., Fakhfakh, A., Kammoun, I., Kanoun, O., "Energy aware fault tolerant re-clustering algorithm for wireless sensor networks", 8th EnvImeko - IMEKO TC19 Symposium on Environmental Instrumentation and Measurements, 2019. - 2019 - в издания, индексирани в Scopus или Web of Science
    2. Zhou, J., Lin, Z., "Lightweight load-balanced and authentication scheme for a cluster-based wireless sensor network", International Journal of Distributed Sensor Networks, vol. 7, no. 2, 2021, DOI: 10.1177/1550147720980326. - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science