Power management techniques for mobile communication
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Energy efficient multicast in ad hoc networks
The handbook of ad hoc wireless networks
Minimum-power multicast routing in static ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
ICPPW '05 Proceedings of the 2005 International Conference on Parallel Processing Workshops
Ad Hoc Networking
IEEE Communications Magazine
Lifetime maximization for multicasting in energy-constrained wireless networks
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
This paper proposes adaptive multicast trees (AMTs) on static ad hoc networks. The proposed function f: (α, β) → AMT(α, β) provides a wide range of tradeoffs between the most energy efficient AMT and the fastest AMT by adjusting two parameters α and β, where nonnegative integers α and β are correlated with each other such that if α 0 and β 0, αβ is α or β; otherwise, α + β = 1. AMT(α, β) is a breadth-first spanning tree (BT) with mini∈[1,k] EiαTiβ among k BTs for a multicast group with k members, where Ei and Ti are the normalized energy consumption and delay for a multicast in BTi, respectively. The simulation study shows that AMT(0, 1) reveals about 60 percent shorter delay than AMT(1, 0) while AMT(1, 0) consumes up to 45 percent less energy than AMT(0, 1). Therefore, if delay is the most important factor, AMT(0, 1) should be the choice while AMT(1, 0) is most efficient when energy consumption is the primary concern. One of various AMTs can be appropriately chosen in accordance with the operation requiremen