Exploiting data diversity and multiuser diversity in noncooperative mobile infostation networks

In wireless networks, it is often assumed that all nodes cooperate to relay packets for each other. Although this is a plausible model for military or mission based networks, it is unrealistic for commercial networks and future pervasive computing environments. We address the issue of noncooperation between nodes in the context of content distribution in mobile infostation networks. We assume all nodes have common interest in all files cached in the fixed infostations. In addition to downloading files from the fixed infostations, nodes act as mobile infostations and exchange files when they are in proximity. We stipulate a social contract such that an exchange occurs only when each node can obtain something it wants from the exchange. Our social contract enables much higher system efficiency compared to downloading from fixed infostations only while not requiring true cooperation among nodes. We show by analysis and simulations that network performance depends on the node density, mobility and the number of files that are being disseminated. Our results point to the existence of data diversity for mobile infostation networks. The achievable throughput increases as the number of files of interest to all users increases. We have also extended the common interest model to the case where nodes have dissimilar interests. Our simulation results show that as mobile nodes change from having identical interests to mutually exclusive interests, the network performance degrades dramatically. We propose an alternative user strategy when nodes have partially overlapping interests and show that the network capacity can be significantly improved by exploiting multiuser diversity inherent in mobile infostation networks. We conclude that data diversity and multiuser diversity exist in noncooperative mobile infostation networks and can be exploited.

[1]  Zygmunt J. Haas,et al.  The shared wireless infostation model: a new ad hoc networking paradigm (or where there is a whale, there is a way) , 2003, MobiHoc '03.

[2]  Charles E. Perkins,et al.  Performance comparison of two on-demand routing protocols for ad hoc networks , 2001, IEEE Wirel. Commun..

[3]  Chi Wan Sung,et al.  On energy efficiency and network connectivity of mobile ad hoc networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[4]  Sheldon M. Ross,et al.  Stochastic Processes , 2018, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics.

[5]  Henning Schulzrinne,et al.  Effects of power conservation, wireless coverage and cooperation on data dissemination among mobile devices , 2001, MobiHoc '01.

[6]  Leonard Kleinrock,et al.  Optimal Transmission Ranges for Randomly Distributed Packet Radio Terminals , 1984, IEEE Trans. Commun..

[7]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[8]  Devavrat Shah,et al.  Throughput-delay trade-off in wireless networks , 2004, IEEE INFOCOM 2004.

[9]  Hector Garcia-Molina,et al.  The Eigentrust algorithm for reputation management in P2P networks , 2003, WWW '03.

[10]  Yong Wang,et al.  Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet , 2002, ASPLOS X.

[11]  Roy D. Yates,et al.  Noncooperative content distribution in mobile infostation networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[12]  Ness B. Shroff,et al.  The Fundamental Capacity-Delay Tradeoff in Large Mobile Ad Hoc Networks , 2004 .

[13]  Roy D. Yates,et al.  Optimum transmit range and capacity of mobile infostation networks , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[14]  Waylon Brunette,et al.  Data MULEs: modeling a three-tier architecture for sparse sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[15]  Eytan Modiano,et al.  Improving Delay in Ad-Hoc Mobile Networks Via Redundant Packet Transfers , 2003 .

[16]  Roy D. Yates,et al.  The Infostations challenge: balancing cost and ubiquity in delivering wireless data , 2000, IEEE Wirel. Commun..

[17]  Leonard Kleinrock,et al.  The Spatial Capacity of a Slotted ALOHA Multihop Packet Radio Network with Capture , 1984, IEEE Trans. Commun..

[18]  Charles E. Perkins,et al.  Performance comparison of two on-demand routing protocols for ad hoc networks , 2001, IEEE Wirel. Commun..

[19]  M. Weiser The Computer for the Twenty-First Century , 1991 .

[20]  Ellen W. Zegura,et al.  A message ferrying approach for data delivery in sparse mobile ad hoc networks , 2004, MobiHoc '04.

[21]  Qun Li,et al.  Sending messages to mobile users in disconnected ad-hoc wireless networks , 2000, MobiCom '00.

[22]  David A. Maltz,et al.  A performance comparison of multi-hop wireless ad hoc network routing protocols , 1998, MobiCom '98.

[23]  Ting-Chao Hou,et al.  Transmission Range Control in Multihop Packet Radio Networks , 1986, IEEE Trans. Commun..

[24]  John A. Silvester,et al.  Optimum transmission radii for packet radio networks or why six is a magic number , 1978 .

[25]  Kevin R. Fall,et al.  A delay-tolerant network architecture for challenged internets , 2003, SIGCOMM '03.

[26]  David Tse,et al.  Mobility increases the capacity of ad-hoc wireless networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[27]  Paramvir Bahl,et al.  A rate-adaptive MAC protocol for multi-Hop wireless networks , 2001, MobiCom '01.

[28]  Andrea J. Goldsmith,et al.  Large wireless networks under fading, mobility, and delay constraints , 2004, IEEE INFOCOM 2004.

[29]  Roy D. Yates,et al.  Effect of node mobility on highway mobile infostation networks , 2003, MSWIM '03.

[30]  Piyush Gupta,et al.  Critical Power for Asymptotic Connectivity in Wireless Networks , 1999 .