Title: A novel Asanoha-inspired method for optimal path planning of multiple mobile sinks

Authors: Amit Kumar Keshari; Kumar Nitesh; Bhaskar Karn

Addresses: Department of Computer Science and Engineering, FET-ITER (Deemed to be University), Siksha 'O' Anusandhan, Bhubaneswar, Odisha, India ' Department of Computer Science and Engineering, NIIT University, Neemrana, Rajasthan – 301705, India ' Department of Computer Science and Engineering, BIT Mesra, Mesra, Ranchi – 835215, India

Abstract: In wireless sensor networks (𝕎𝕊ℕs), mobile sinks (𝕄𝕊s) act as information collectors, relieving the hot spot problem (ℍ𝕊ℙ) and reducing energy usage in sensor nodes (𝕊ℕs). To avoid hot spots problem, an MS travels inside a target region (𝕋ℝ) and stops at predetermined rendezvous points (ℝℙs) to collect data from surrounding 𝕊ℕs. By leveraging multiple mobile sinks (𝕄𝕄𝕊s), this study proposes a way for alleviating the hot spot problem to increase the network lifespan. The TR is divided into sub-regions (𝕊ℝs) using the k-means clustering method, and each 𝕊ℝ is assigned an 𝕄𝕊. Within each 𝕊ℝ, the Asanoha pattern is employed to configure likely ℝℙ prediction. The final set of RPs is chosen after optimisation of numerous criteria impacting 𝕄𝕊 performance. The proposed approach is tested using simulation and compared to existing methods in terms of performance metrics such as the number of ℝℙs, route length, and average waiting time. These analyses are conducted across a range of 𝕊ℕs and communication ranges.

Keywords: wireless sensor networks; sensor nodes; multiple mobile sinks; MMSs; connectivity; rendezvous points; trajectory design; Asanoha pattern.

DOI: 10.1504/IJAHUC.2024.140037

International Journal of Ad Hoc and Ubiquitous Computing, 2024 Vol.46 No.3, pp.166 - 180

Received: 26 Sep 2023
Accepted: 04 Mar 2024
Published online: 15 Jul 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article