Cited 0 time in
Cited 9 time in
Increasing network lifetime using data compression in wireless sensor networks with energy harvesting
- Increasing network lifetime using data compression in wireless sensor networks with energy harvesting
- Kim, Sun Yong; Cho, Chi Woo; Park, Kyung Joon; Lim, Hyuk
- DGIST Authors
- Park, Kyung Joon
- Issue Date
- International Journal of Distributed Sensor Networks, 13(1)
- Article Type
- Average Energy; Data Compression; Data Compression Algorithms; Data Compression Techniques; Energy Consumption Model; Energy Efficiency; Energy Harvesting; Energy Utilization; Multihop Wireless; Network Lifetime; Packet Transmissions; Sensor Nodes; Total Energy Consumption; Wireless Sensor Networks (WSNs)
- In wireless sensor networks powered by battery-limited energy harvesting, sensor nodes that have relatively more energy can help other sensor nodes reduce their energy consumption by compressing the sensing data packets in order to consequently extend the network lifetime. In this article, we consider a data compression technique that can shorten the data packet itself to reduce the energies consumed for packet transmission and reception and to eventually increase the entire network lifetime. First, we present an energy consumption model, in which the energy consumption at each sensor node is derived. We then propose a data compression algorithm that determines the compression level at each sensor node to decrease the total energy consumption depending on the average energy level of neighboring sensor nodes while maximizing the lifetime of multihop wireless sensor networks with energy harvesting. Numerical simulations show that the proposed algorithm achieves a reduced average energy consumption while extending the entire network lifetime. © The Author(s) 2017.
- Hindawi Publishing Corporation
- Related Researcher
CSI(Cyber-Physical Systems Integration) Lab
Design of Wireless Network for Cyber-Physical System; 무선 센서 네트워크; 강인 무선 네트워크
There are no files associated with this item.
- Department of Information and Communication EngineeringCSI(Cyber-Physical Systems Integration) Lab1. Journal Articles
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.