Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Topology control for wireless sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Optimal Transmit Power in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Variable-Range Transmission Power Control in Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Opportunity-Based Topology Control in Wireless Sensor Networks
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
A novel power control MAC protocol for mobile ad hoc networks
International Journal of Sensor Networks
A traffic aware, energy-efficient MAC protocol for Wireless Sensor Networks
International Journal of Ad Hoc and Ubiquitous Computing
Topology Control in Wireless Sensor Networks: with a companion simulation tool for teaching and research
An Integrated Approach to Energy-Aware Medium Access for Wireless Sensor Networks
IEEE Transactions on Signal Processing - Part I
A Sensor Network Cross-Layer Power Control Algorithm that Incorporates Multiple-Access Interference
IEEE Transactions on Wireless Communications
MAC protocols for wireless sensor networks: a survey
IEEE Communications Magazine
| Hi-index | 0.00 |
In this paper, we investigate the impact of a fuzzy logic control-based transmission power control in a wireless sensor network on the quality of service aspects like average power, energy efficiency, throughput and average end-to-end delay. The transmission power control algorithm is implemented in the medium access control layer as an enhancement for wireless MAC Standard IEEE 802.15.4. For a given fading channel, observations are made regarding received signal strength variations and link quality variations for different distances of separation between transmitter and receiver. The membership functions for the fuzzy logic are then formulated for efficient transmission power control. The transmission power of the source node along with the received signal strength indicator and link quality indicator values measured at the receiving node is used for deciding the required transmission power. The performance of this fuzzy logic-based transmission power control (FTPC_MAC) scheme is compared with the standard IEEE 802.15.4 MAC protocol (IEEE_MAC) and also with location prediction-based transmission power control (LPTPC_MAC). Analytical and simulation results show that fuzzy logic-based transmission power control performs better than the other two MAC protocols.