On calculating connected dominating set for efficient routing in ad hoc wireless networks
DIALM '99 Proceedings of the 3rd international workshop on Discrete algorithms and methods for mobile computing and communications
The broadcast storm problem in a mobile ad hoc network
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
An energy consumption model for performance analysis of routing protocols for mobile ad hoc networks
Mobile Networks and Applications
Dominating Sets and Neighbor Elimination-Based Broadcasting Algorithms in Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Minimum energy paths for reliable communication in multi-hop wireless networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Message-optimal connected dominating sets in mobile ad hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Approximating minimum size weakly-connected dominating sets for clustering mobile ad hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Multipoint Relaying for Flooding Broadcast Messages in Mobile Wireless Networks
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 9 - Volume 9
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
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Broadcasting in short-range wireless ad hoc networks is a key issue. Currently, these networks can be formed not only by computer hosts with full PC functionalities, but also by small communicating objects. Hence energy-efficiency becomes a big challenge for broadcasting protocols. To design an energy-efficient broadcasting protocol, an energy model should be defined to evaluate protocols performances. Nevertheless, all the performance evaluations are based on a one-to-one energy model without taking into account the wireless multicast advantage: such a model is not able to describe correctly the energy consumption in a broadcast. In this paper, we propose to use a more realistic one-to-all energy model to quantify the broadcast cost. By applying this model to the main broadcasting protocols, we will discuss how a range adjustment technique takes effect. We will also show that in a broadcast, a range adjustment provides a trade-off between the number of rebroadcasts and the number of nodes touched by each rebroadcast. It is through this trade-off that a broadcasting protocol can achieve energy-efficiency.