On the node-scheduling approach to topology control in ad hoc networks

In this paper, we analyze the node scheduling approach of topology control in the context of reliable packet delivery. In node scheduling, only a minimum set of nodes needed for routing purposes (usually determined by a minimum connected dominating set, MCDS) are kept active. However, a very low density resulting from switching off nodes can adversely affect the performance of data delivery due to three factors. First, our analysis shows that at low density, the average path length increases by a factor more than previously thought. Second, protocols such as the Hop-By-Hop Broadcast (HHB) reliability scheme (which relies on high network degree for optimum performance) suffer. Third, with limited buffers at nodes, the overhead is more pronounced to the extent of making the network unstable. Using probabilistic models, we derive the relationship between network density and overhead based on the above factors and find the density conditions for minimum power consumption. We also propose a, fully distributed and message-optimal node scheduling algorithm with a constant approximation bound based on the concept of Virtual Connected Dominating Sets. The scheme can asymptotically achieve optimal density conditions while adapting to different network parameters.

[1]  Peng-Jun Wan,et al.  Distributed Construction of Connected Dominating Set in Wireless Ad Hoc Networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[2]  S. Khuller,et al.  A Clustering Scheme for Hierarchical Control in Wireless Networks , 2001 .

[3]  Eytan Modiano,et al.  Minimum energy disjoint path routing in wireless ad-hoc networks , 2003, MobiCom '03.

[4]  Deborah Estrin,et al.  Geography-informed energy conservation for Ad Hoc routing , 2001, MobiCom '01.

[5]  Teresa H. Meng,et al.  Minimum energy mobile wireless networks , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[6]  Di Tian,et al.  A coverage-preserving node scheduling scheme for large wireless sensor networks , 2002, WSNA '02.

[7]  Jerrold W. Grossman Dominating sets whose closed stars form spanning trees , 1997, Discret. Math..

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

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

[10]  Prasun Sinha,et al.  Throughput and energy efficiency in topology-controlled multi-hop wireless sensor networks , 2003, WSNA '03.

[11]  S. Foss,et al.  On a Voronoi aggregative process related to a bivariate Poisson process , 1996, Advances in Applied Probability.

[12]  A. Ephremides,et al.  A design concept for reliable mobile radio networks with frequency hopping signaling , 1987, Proceedings of the IEEE.

[13]  Jie Wu,et al.  On calculating power-aware connected dominating sets for efficient routing in ad hoc wireless networks , 2001, Journal of Communications and Networks.

[14]  Robert Tappan Morris,et al.  Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks , 2001, MobiCom '01.

[15]  Raghupathy Sivakumar,et al.  Quantitative analysis of transmission power control in wireless ad-hoc networks , 2002, Proceedings. International Conference on Parallel Processing Workshop.

[16]  Teresa H. Y. Meng,et al.  Minimum energy mobile wireless networks , 1999, IEEE J. Sel. Areas Commun..

[17]  Samir Khuller,et al.  A clustering scheme for hierarchical control in multi-hop 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).

[18]  Radha Poovendran,et al.  A novel power-efficient broadcast routing algorithm exploiting broadcast efficiency , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[19]  Noga Alon,et al.  The Probabilistic Method , 2015, Fundamentals of Ramsey Theory.

[20]  Gruia Calinescu,et al.  Network Lifetime and Power Assignment in ad hoc Wireless Networks , 2003, ESA.

[21]  Leonidas J. Guibas,et al.  Discrete mobile centers , 2001, SCG '01.

[22]  Roger Wattenhofer,et al.  Constant-time distributed dominating set approximation , 2003, PODC '03.

[23]  Mario Gerla,et al.  Multicluster, mobile, multimedia radio network , 1995, Wirel. Networks.

[24]  Vaduvur Bharghavan,et al.  CEDAR: a core-extraction distributed ad hoc routing algorithm , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[25]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[26]  Harry B. Hunt,et al.  Simple heuristics for unit disk graphs , 1995, Networks.

[27]  Budhaditya Deb,et al.  Multi-resolution state retrieval in sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[28]  S. Fossy,et al.  On a Voronoi Aggregative Process Related to a Bivariate Poisson Process , 1996 .

[29]  A. Ephremides,et al.  Algorithms for energy-efficient multicasting in ad hoc wireless networks , 1999, MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341).

[30]  Archan Misra,et al.  Energy efficiency and throughput for TCP traffic in multi-hop wireless networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[31]  Paul J. Schweitzer,et al.  Buffer Overflow in a Store-and-Forward Network Node , 1976, IBM J. Res. Dev..

[32]  Peng-Jun Wan,et al.  Message-optimal connected dominating sets in mobile ad hoc networks , 2002, MobiHoc '02.

[33]  Moustafa Youssef,et al.  Energy-Aware TDMA-Based MAC for Sensor Networks , 2002 .

[34]  Archan Misra,et al.  Minimum energy paths for reliable communication in multi-hop wireless networks , 2002, MobiHoc '02.

[35]  Samir Khuller,et al.  Approximation Algorithms for Connected Dominating Sets , 1996, Algorithmica.

[36]  Roger Wattenhofer,et al.  Maximizing the lifetime of dominating sets , 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

[37]  Anthony Ephremides,et al.  Algorithms for Energy-Efficient Multicasting in Static Ad Hoc Wireless Networks , 2001, Mob. Networks Appl..

[38]  B. R. Badrinath,et al.  Information assurance in sensor networks , 2003, WSNA '03.

[39]  Srikanth V. Krishnamurthy,et al.  Distributed power control in ad-hoc wireless networks , 2001, 12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598).

[40]  Vaduvur Bharghavan,et al.  Routing in ad-hoc networks using minimum connected dominating sets , 1997, Proceedings of ICC'97 - International Conference on Communications.

[41]  Suresh Singh,et al.  PAMAS—power aware multi-access protocol with signalling for ad hoc networks , 1998, CCRV.