Low power error control for wireless links
MobiCom '97 Proceedings of the 3rd annual ACM/IEEE international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
A framework for energy-scalable communication in high-density wireless networks
Proceedings of the 2002 international symposium on Low power electronics and design
Design Considerations for Energy-Efficient Radios in Wireless Microsensor Networks
Journal of VLSI Signal Processing Systems
Deploying a Wireless Sensor Network on an Active Volcano
IEEE Internet Computing
Performance Analysis of Error Control Codes for Wireless Sensor Networks
ITNG '07 Proceedings of the International Conference on Information Technology
Error control coding in low-power wireless sensor networks: when is ECC energy-efficient?
EURASIP Journal on Wireless Communications and Networking
A framework for energy consumption based design space exploration for wireless sensor nodes
Proceedings of the 13th international symposium on Low power electronics and design
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
IEEE Transactions on Wireless Communications
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Increasing network lifetime in an energy-constrained wireless sensor network
International Journal of Sensor Networks
Hi-index | 0.03 |
In this paper, we first establish that, in wireless sensor networks, operating over "small" distances, both computation energy and radio energy influence the battery life. In such a scenario, to evaluate the utility of error-correcting codes (ECCs) from an energy perspective, one has to consider the energy consumed in encoding-decoding and transmitting additional "redundant" bits vis-à-vis the energy saved due to coding gain. This paper presents a framework for evaluating various ECCs based on a comprehensive energy model of a sensor node. The framework supports exploration of sensor node design space with application and deployment-related parameters, like distance, bit error rate, path loss exponent, as well as the modulation scheme and ECC parameters. The exploration results show that, as compared to the uncoded-data transmission, the energy-optimal ECC saves 15%-60% node energy for the given parameters.