Acumen Message Drop Scheme (AMD) in Opportunistic Networks

Title:Acumen Message Drop Scheme (AMD) in Opportunistic Networks

Volume: 11 Issue: 5

Author(s): Halikul Lenando, Aref Hassan Kurd Ali*Mohamad Alrfaay

Affiliation:

• Department of Computer Systems and Communication Technologies, Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan 94300, Sarawak,Malaysia

Keywords: Opportunistic networks, delay tolerant networks, wireless sensor networks, routing protocol, buffer management, limited resources.

Abstract:

Background: In traditional networks, nodes drop messages to free up enough space for buffer optimization. However, keeping messages alive until they reach their destination is crucial in Opportunistic Networks. Therefore, this paper proposes an Acumen Message Drop scheme (AMD) that considers the impact of the message drop decision on data dissemination performance.

Methods: To achieve this goal, AMD drops the message based on the following considerations: the estimated time of the arrival of the message to its destination, message time to live, message transmission time, and the waiting time of the message in the queue. AMD scheme works as a plug-in in any routing protocol.

Results: Performance evaluation shows that the integration of the proposed scheme with the PRoPHET routing protocol may increase efficiency by up to 80%, while if integrated with an Epidemic routing protocol, efficiency increases by up to 35%. Moreover, the proposed system significantly increases performance in the case of networks with limited resources.

Conclusion: To the best of our knowledge, most of the previous works did not address the issue of formulating the message drop decision in the non-social stateless opportunistic networks without affecting performance.

Cite this article as:

Lenando Halikul, Ali Kurd Aref Hassan*, Alrfaay Mohamad, Acumen Message Drop Scheme (AMD) in Opportunistic Networks, International Journal of Sensors, Wireless Communications and Control 2021; 11 (5) . https://dx.doi.org/10.2174/2210327910666200814161132