When Both Transmitting and Receiving Energies Matter: An Application of Network Coding in Wireless Body Area Networks

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Xiaomeng Shi (Author) FEUP; Muriel Médard (Author) FEUP; Daniel E. Lucani (Author) FEUP

Conference proceedings International

Title: IFIP Networking 2011: Workshop on Network Coding Applications and Protocols (NC-Pro 2011)

IFIP Networking 2011: Workshop on Network Coding Applications and Protocols (NC-Pro 2011)

Valencia, Spain, 13 May 2011

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Communication engineering > Telecommunications engineering

Other information

Resumo (PT): A network coding scheme for practical implementations of wireless body area networks is presented, with the objective of providing reliability under low-energy constraints. We propose a simple network layer protocol for star networks, adapting redundancy based on both transmission and reception energies for data and control packets, as well as channel conditions. Our numerical results show that even for small networks, the amount of energy reduction achievable can range from 29% to 87%, as the receiving energy per control packet increases from equal to much larger than the transmitting energy per data packet. The achievable gains increase as a) more nodes are added to the network, and/or b) the channels seen by different sensor nodes become more asymmetric.

Abstract (EN): A network coding scheme for practical implementations of wireless body area networks is presented, with the objective of providing reliability under low-energy constraints. We propose a simple network layer protocol for star networks, adapting redundancy based on both transmission and reception energies for data and control packets, as well as channel conditions. Our numerical results show that even for small networks, the amount of energy reduction achievable can range from 29% to 87%, as the receiving energy per control packet increases from equal to much larger than the transmitting energy per data packet. The achievable gains increase as a) more nodes are added to the network, and/or b) the channels seen by different sensor nodes become more asymmetric.

Language: English

Type (Professor's evaluation): Scientific