Energy-efficient topology control in wireless ad hoc networks with selfish nodes

In wireless ad hoc networks there is no fixed infrastructure or centralized controller to enforce cooperation between nodes. Therefore, nodes may act selfishly in running network protocols for conserving their own energy resources. In this paper, we consider the ''topology control (TC) game'' as the problem of creating an energy-efficient topology in wireless ad hoc networks in the presence of selfish nodes. We define a new TC game in which nodes are able to dynamically adjust their transmission power in a per-packet manner, and try to minimize their energy usage through considering both traffic load and transmission power parameters. After analyzing the problem, we propose several algorithms to find stable topologies in an environment composed of selfish nodes, using two types of global and local connectivity information. Finally, we evaluate the performance of the proposed algorithms by simulations. Our simulation results show that using appropriate local information can interestingly result in more efficient topologies than global information.

[1]  Nasser Yazdani,et al.  Efficient construction of network topology to conserve energy in wireless ad hoc networks , 2008, Comput. Commun..

[2]  Yunhuai Liu,et al.  Topology Control in Wireless Ad Hoc Networks with Selfish Nodes , 2008 .

[3]  Li Li,et al.  Distributed topology control for power efficient operation in multihop wireless ad hoc networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[4]  Nasser Yazdani,et al.  Joint range assignment and routing to conserve energy in wireless ad hoc networks , 2009, Comput. Networks.

[5]  Peter P. Pham,et al.  Performance analysis of reactive shortest path and multipath routing mechanism with load balance , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[6]  Krishna M. Sivalingam,et al.  A Survey of Energy Efficient Network Protocols for Wireless Networks , 2001, Wirel. Networks.

[7]  Allen B. MacKenzie,et al.  The price of ignorance: distributed topology control in cognitive networks , 2010, IEEE Transactions on Wireless Communications.

[8]  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).

[9]  Lui Sha,et al.  Design and analysis of an MST-based topology control algorithm , 2003, IEEE Transactions on Wireless Communications.

[10]  Sunil Samtani,et al.  Cognitive topology control based on game theory , 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

[11]  Jan Karel Lenstra,et al.  The complexity of the network design problem , 1978, Networks.

[12]  Abtin Keshavarzian,et al.  Load balancing in ad hoc networks: single-path routing vs. multi-path routing , 2004, IEEE INFOCOM 2004.

[13]  Paolo Santi.  Topology control in wireless ad hoc and sensor networks , 2005 .

[14]  Noam Nisan,et al.  Algorithmic mechanism design (extended abstract) , 1999, STOC '99.

[15]  Baochun Li,et al.  Strategyproof Mechanisms towards Dynamic Topology Formation in Autonomous Networks , 2005, Mob. Networks Appl..

[16]  Allen B. MacKenzie,et al.  Analyzing Selfish Topology Control in Multi-Radio Multi-Channel Multi-Hop Wireless Networks , 2009, 2009 IEEE International Conference on Communications.

[17]  Stephan Eidenbenz,et al.  Equilibria in Topology Control Games for Ad Hoc Networks , 2003, DIALM-POMC '03.

[18]  L. Shapley,et al.  REGULAR ARTICLEPotential Games , 1996 .

[19]  Noam Nisan,et al.  Algorithmic Mechanism Design , 2001, Games Econ. Behav..

[20]  L. Shapley,et al.  Potential Games , 1994 .

[21]  Vikram Srinivasan,et al.  Cooperation in wireless ad hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[22]  V. Georgiev.  Using Game Theory to Analyze Wireless Ad Hoc Networks . ” , 2008 .

[23]  Richard T. Wong,et al.  Worst-Case Analysis of Network Design Problem Heuristics , 1980, SIAM J. Algebraic Discret. Methods.

[24]  Marwan Krunz,et al.  CDMA-based MAC protocol for wireless ad hoc networks , 2003, MobiHoc '03.

[25]  Xiang-Yang Li,et al.  Localized topology control for unicast and broadcast in wireless ad hoc networks , 2006, IEEE Transactions on Parallel and Distributed Systems.

[26]  A.B. MacKenzie,et al.  Distributed topology control in ad-hoc networks: a game theoretic perspective , 2006, CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006..

[27]  Levente Buttyán,et al.  Nash equilibria of packet forwarding strategies in wireless ad hoc networks , 2006, IEEE Transactions on Mobile Computing.

[28]  Allen B. MacKenzie,et al.  Effect of Selfish Node Behavior on Efficient Topology Design , 2008, IEEE Transactions on Mobile Computing.

[29]  R. K. Shyamasundar,et al.  Introduction to algorithms , 1996 .

[30]  Paolo Santi,et al.  A framework for incentive compatible topology control in non-cooperative wireless multi-hop networks , 2006, DIWANS '06.

[31]  Jennifer C. Hou,et al.  Localized topology control algorithms for heterogeneous wireless networks , 2005, IEEE/ACM Transactions on Networking.

[32]  Madhav V. Marathe,et al.  Algorithmic Aspects of Topology Control Problems for Ad Hoc Networks , 2005, Mob. Networks Appl..

[33]  Drew Fudenberg,et al.  Game theory (3. pr.) , 1991 .

[34]  Hao Yang,et al.  A Power Control MAC Protocol for Ad hoc Networks , 2008, MobiMedia.

[35]  Max Q.-H. Meng,et al.  Game-Theoretic Modeling of Joint Topology Control and Power Scheduling for Wireless Heterogeneous Sensor Networks , 2009, IEEE Transactions on Automation Science and Engineering.

[36]  Jun Luo,et al.  Joint mobility and routing for lifetime elongation in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..