WSN19-1: Maximizing Broadcast Tree Lifetime in Wireless Ad Hoc Networks

In wireless ad hoc networks (WANETs), e.g. wireless sensor networks, battery-powered devices are constrained by limited amount of energy. Many WANET applications require that the duration (called lifetime) for which the network remains operational - until the first node exhausts its battery energy - is maximized. We study the problem of maximizing the lifetime of WANET broadcast trees under two receiver cost models: 1) the constant receiver power (CORP) model, in which a receiver consumes a fixed amount of energy for receiving an information bit; and, 2) the transmitter-receiver power tradeoff (TREPT) model, in which the amount of energy consumed by a receiver is a function of the received signal power and hence the transmitter power. We propose a graph theoretic solution for CORP model to find a maximum lifetime tree and a binary search based solution for TREPT model to determine power assignment which maximizes the lifetime of a given broadcast tree. Both polynomial- time solutions are formally proved to be optimal.

[1]  Pekka Orponen,et al.  Multicast time maximization in energy constrained wireless networks , 2003, DIALM-POMC '03.

[2]  Mani Srivastava,et al.  Energy-aware wireless microsensor networks , 2002, IEEE Signal Process. Mag..

[3]  Sandeep K. S. Gupta,et al.  On maximizing lifetime of multicast trees in wireless ad hoc networks , 2003, 2003 International Conference on Parallel Processing, 2003. Proceedings..

[4]  Andrea J. Goldsmith,et al.  Modulation optimization under energy constraints , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[5]  Wendi Heinzelman,et al.  Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks , 2022 .

[6]  Anthony Ephremides,et al.  Resource-limited energy-efficient wireless multicast of session traffic , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[7]  Thomas H. Cormen,et al.  Introduction to algorithms [2nd ed.] , 2001 .

[8]  Paolo Santi,et al.  Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks , 2002, MobiCom '02.

[9]  Madhav V. Marathe,et al.  Algorithmic Aspects of Topology Control Problems for Ad Hoc Networks , 2002, MobiHoc '02.

[10]  Paolo M. Camerini.  The Min-Max Spanning Tree Problem and Some Extensions , 1978, Inf. Process. Lett..

[11]  Mohamed A. El-Sharkawi,et al.  MDLT: a polynomial time optimal algorithm for maximization of time-to-first- failure in energy constrained wireless broadcast networks , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[12]  Mani B. Srivastava,et al.  Battery capacity measurement and analysis using lithium coin cell battery , 2001, ISLPED '01.

[13]  Radha Poovendran,et al.  Maximizing static network lifetime of wireless broadcast ad hoc networks , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[14]  Donald F. Towsley,et al.  Optimal Power Allocation in Wireless Networks with Transmitter-Receiver Power Tradeoffs , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

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