Resource Constrained Shortest Paths
ESA '00 Proceedings of the 8th Annual European Symposium on Algorithms
Optimal Transmit Power in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Energy efficient routing with delay guarantee for sensor networks
Wireless Networks
Interference power statistics in ad-hoc and sensor networks
Wireless Networks
Cost minimization while satisfying hard/soft timing constraints for heterogeneous embedded systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Balancing Energy Consumption to Maximize Network Lifetime in Data-Gathering Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Dynamic and leakage energy minimization with soft real-time loop scheduling and voltage assignment
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Online energy-saving algorithm for sensor networks in dynamic changing environments
Journal of Embedded Computing
A Novel Energy-Aware Fault Tolerance Mechanism for Wireless Sensor Networks
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
A centralized energy-efficient routing protocol for wireless sensor networks
IEEE Communications Magazine
Three-phase time-aware energy minimization with DVFS and unrolling for Chip Multiprocessors
Journal of Systems Architecture: the EUROMICRO Journal
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In wireless sensor networks, there are many information exchanges between different terminals. In order to guarantee a good level of Quality of Service (QoS), the source node should be smart enough to pick a stable and good quality communication route in order to avoid any unnecessary packet loss. Due to the error-prone links in a wireless network, it is very likely that the transmitted packets over consecutive links may get corrupted or even lost. It is known that retransmissions will increase the overhead in the network, which in turns increase the total energy consumption during data transmission. In this paper, we focus on the Bit Error Rate (BER) during packet transmission and propose a power scheduling scheme to reduce the total energy consumption in the routing. Our approach controls the transmission power of each transmitter to achieve the minimum energy consumption for successful packet transmission. Considering the limited bandwidth resource, we also plan the multihop route while considering the BER and network load at the same time. The simulation results show that our approach can reduce the total energy consumption during data transmission.