Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Coverage Issue in Sensor Networks with Adjustable Ranges
ICPPW '04 Proceedings of the 2004 International Conference on Parallel Processing Workshops
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A power control MAC protocol for ad hoc networks
Wireless Networks
IEEE Communications Magazine
Intelligent medium access for mobile ad hoc networks with busy tones and power control
IEEE Journal on Selected Areas in Communications
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A major challenge in wireless sensor networks (WSNs) deployment is to minimize sensor node's energy consumption to prolong the lifetime of the finite-capacity batteries. Power control is one of the main techniques used to conserve energy in wireless sensor networks, particularly in star topology/cellular networks. In this paper we provide a study on transmission power control (TPC) in multi-hop and single-hop wireless sensor networks using typical Telosb platform parameters, which is IEEE 802.15.4 standard compliant. We offer a new approach to test TPC in multihop networks at the physical layer, and provide energy consumption performance results via simulation and numerical model. Our simulation and numerical model results illustrate that energy spent to send packets using short-range multi-hop path instead of single-hop does not necessarily save energy as suggested by some of the earlier research. However, in single-hop networks, we found that we can save energy by transmitting at lower transmission power levels while still maintaining reliable connectivity, resulting in up to 23% reduction in energy consumption.