TY - GEN
T1 - Battery Recharging Time-Based Routing for Power Constrained IoT Networks
AU - Derbas, Rawan
AU - Bariah, Lina
AU - Muhaidat, Sami
AU - Sofotasios, Paschalis C.
AU - Saleh, Hani
AU - Damiani, Ernesto
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, we propose a new routing algorithm for the Internet-of-Things (IoT) networks. Our proposed routing algorithm considers multi-channel fading conditions and the battery recharging time (BRT) to enhance the overall network throughput. Our proposed scheme consists of three stages: path discovery, channel assignment and path selection. First, the channel assignment is formulated as an optimization problem, which is then formulated as a binary linear programming (BLP) problem. Consequently, the formulated problem can be solved in polynomial-time (PT) using linear programming (LP) techniques. To show the effectiveness of the proposed algorithm, we compared its performance with That of the minimum hop (MH) algorithm. The presented simulation results show the performance superiority of the proposed algorithm, compared to the MH algorithm.
AB - In this paper, we propose a new routing algorithm for the Internet-of-Things (IoT) networks. Our proposed routing algorithm considers multi-channel fading conditions and the battery recharging time (BRT) to enhance the overall network throughput. Our proposed scheme consists of three stages: path discovery, channel assignment and path selection. First, the channel assignment is formulated as an optimization problem, which is then formulated as a binary linear programming (BLP) problem. Consequently, the formulated problem can be solved in polynomial-time (PT) using linear programming (LP) techniques. To show the effectiveness of the proposed algorithm, we compared its performance with That of the minimum hop (MH) algorithm. The presented simulation results show the performance superiority of the proposed algorithm, compared to the MH algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85124003249&partnerID=8YFLogxK
U2 - 10.1109/CommNet52204.2021.9641956
DO - 10.1109/CommNet52204.2021.9641956
M3 - Conference contribution
AN - SCOPUS:85124003249
T3 - Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021
BT - Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021
A2 - El Bouanani, Faissal
A2 - Ayoub, Fouad
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021
Y2 - 3 December 2021 through 5 December 2021
ER -