Title: ACCO: adaptive congestion control protocol for opportunistic networks

Authors: Deepika Kukreja; Deepak Kumar Sharma

Addresses: Department of Information Technology, Netaji Subhas University of Technology, New Delhi, India ' Department of Information Technology, Indira Gandhi Delhi Technical University for Women, Delhi, India

Abstract: In Opportunistic Network (OppNet), intermittent connections and limited buffer space of mobile nodes lead to congestion. The parameters like meeting predictability of nodes, current speed of nodes, their buffer space, message size and Time-to-Live (TTL) of messages have been analysed for proposing a congestion control strategy protocol. The proposed protocol is named as Adaptive Congestion Control Protocol for Opportunistic (ACCO) networks. The TTL of a message is calculated using values of message size and meeting predictability of its source node with destination node. As a part of congestion avoidance strategy, largest message with least TTL is dropped on detecting congestion in the network. The connection stability of a node is considered while forwarding a message to another node. Through simulations, it has been shown that the proposed congestion control strategy gives high message delivery ratio, low overhead ratio and low message dropping when compared with Epidemic, PRoPHET, DP, LR-ROP and IWDNN protocols.

Keywords: mobile ad-hoc network; opportunistic network; congestion control; routing; time-to-live.

DOI: 10.1504/IJWMC.2023.134669

International Journal of Wireless and Mobile Computing, 2023 Vol.25 No.3, pp.258 - 271

Received: 18 May 2022
Received in revised form: 18 Jan 2023
Accepted: 19 Feb 2023
Published online: 03 Nov 2023 *

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