Distance-based energy-efficient opportunistic forwarding in mobile delay tolerant networks

Mobile relay-assisted forwarding can improve the network capacity, but meanwhile increase the energy consumption. In this paper, we propose two distance-based energy-efficient opportunistic forwarding (DEEOF) schemes in mobile delay tolerant networks (DTNs). The proposed schemes strike a balance between energy consumption and network performance by maximizing the energy efficiency while maintaining a high packet delivery ratio from two different angles. Specifically, in the developed algorithms, we introduce the forwarding equivalent energy-efficiency distance (FEED) to quantify the transmission distances achieving the same energy efficiency at different time instances. The expected energy efficiency can thus be estimated based on the FEED. Furthermore, the distribution of the greatest forwarding energy efficiency in the predicted period is investigated to provide more accurate prediction for the energy efficiency. The forwarding decision in the algorithms is made by comparing the current energy efficiency and the estimated future expectation. The performance improvement of the proposed algorithms is also demonstrated by simulation, especially for systems where the source has very limited battery reserves.

[1]  Ger Koole,et al.  The message delay in mobile ad hoc networks , 2005, Perform. Evaluation.

[2]  Jiming Chen,et al.  DelQue: A Socially Aware Delegation Query Scheme in Delay-Tolerant Networks , 2011, IEEE Transactions on Vehicular Technology.

[3]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[4]  David Tse,et al.  Mobility increases the capacity of ad hoc wireless networks , 2002, TNET.

[5]  Amin Vahdat,et al.  Epidemic Routing for Partially-Connected Ad Hoc Networks , 2009 .

[6]  Vijay Erramilli,et al.  Delegation forwarding , 2008, MobiHoc '08.

[7]  Christophe Diot,et al.  Impact of Human Mobility on Opportunistic Forwarding Algorithms , 2007, IEEE Transactions on Mobile Computing.

[8]  Jean-Yves Le Boudec,et al.  Power Law and Exponential Decay of Intercontact Times between Mobile Devices , 2007, IEEE Transactions on Mobile Computing.

[9]  Jie Wu,et al.  An optimal probabilistic forwarding protocolin delay tolerant networks , 2009, MobiHoc '09.

[10]  Wei Gao,et al.  Ieee Transactions on Parallel and Distributed Systems Geo-community-based Broadcasting for Data Dissemination in Mobile Social Networks , 2022 .

[11]  Eitan Altman,et al.  Decentralized Stochastic Control of Delay Tolerant Networks , 2009, IEEE INFOCOM 2009.

[12]  Xiang-Yang Li,et al.  Energy efficient opportunistic routing in wireless networks , 2009, MSWiM '09.

[13]  Jiming Chen,et al.  On Exploiting Contact Patterns for Data Forwarding in Duty-Cycle Opportunistic Mobile Networks , 2013, IEEE Transactions on Vehicular Technology.

[14]  Jie Wu,et al.  Geocommunity-Based Broadcasting for Data Dissemination in Mobile Social Networks , 2012 .

[15]  Don Towsley,et al.  E2R: Energy efficient routing for multi-hop green wireless networks , 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[16]  Shaojie Tang,et al.  Energy-Efficient Opportunistic Routing in Wireless Sensor Networks , 2011, IEEE Transactions on Parallel and Distributed Systems.

[17]  Lieguang Zeng,et al.  Energy-Efficient Optimal Opportunistic Forwarding for Delay-Tolerant Networks , 2010, IEEE Transactions on Vehicular Technology.