A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Scenario-based performance analysis of routing protocols for mobile ad-hoc networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Proceedings of the 7th annual 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
Quantitative Analysis of Transmission Power Control in Wireless Ad-hoc Networks
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
The capacity of wireless networks
IEEE Transactions on Information Theory
Transmission power selection for ad hoc networks
Proceedings of the 4th Annual International Conference on Wireless Internet
An energy efficient power control protocol for ad hoc networks using directional antennas
ADHOC-NOW'10 Proceedings of the 9th international conference on Ad-hoc, mobile and wireless networks
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In this paper, we propose battery power sensitive power control as a variable-range transmission power control strategy to maximize network lifetime and minimize end-to-end delay in wireless multi-hop networks. The network lifetime is defined as the time by which the first node runs out of battery power. To the best of our knowledge, there is no power control strategy that takes into account the remaining battery power of a node before changing the transmission power of the node. According to our power control strategy, each node starts with a higher transmission range and then gradually tunes down its transmission range depending on the battery power available at the node. If the transmission range to be reduced to falls below a minimum threshold level that just guarantees network connectivity, the node continues to operate at the minimum transmission range. The rate at which the nodes tune down their transmission range influences the network lifetime and the end-to-end delay. Our power control strategy is localized and does not require any significant global coordination overhead even in the presence of node mobility. Through extensive simulations conducted under varying mobility and traffic load, we show that our residual battery power based power control strategy can achieve higher network lifetime and lower end-to-end delay when compared to operating the network at a fixed common power level.