Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Proceedings of the 7th annual international conference on Mobile computing and networking
Conserving Transmission Power in Wireless Ad Hoc Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
A Distributed Formation of a Virtual Backbone in MANETs Using Adjustable Transmission Ranges
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Localized algorithms for energy efficient topology in wireless ad hoc networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Geometry of information propagation in massively dense ad hoc networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks
IEEE Communications Magazine
Maximization of energy efficiency in wireless ad hoc and sensor networks with SERENA
Mobile Information Systems - Advances in Wireless Networks
Energy-aware routing in wireless ad hoc and sensor networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
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In mobile ad hoc wireless networks, energy consumption is an important issue as most mobile nodes operate on limited battery resources. Existing models for evaluating the energy consumption in a mobile ad hoc network have shown that the various components of energy related costs include transmission power as well as the reception power. In this paper, we extend the model for calculating the energy spent at a node due to a flow in the network. We include the transmission and reception costs if the node belongs to a flow, and reception costs if it is near a flow. This model gives the energy costs of nodes in ideal conditions where interferences are absent. It is then extended to evaluate the interference effect on energy consumption in more realistic conditions. The collisions due to concurrent flows are also measured. We then show how the extra energy spent due to collisions can be calculated by predicting the collisions in the nodes of the network. This prediction is shown to be capable of accurate calculation of the extra energy consumption.