TY - JOUR
T1 - Socially optimal coexistence of wireless body area networks enabled by a non-cooperative game
AU - Dong, Jie
AU - Smith, David B.
AU - Hanlen, Leif W.
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/9
Y1 - 2016/9
N2 - In this article, we enable the coexistence of multiple wireless body area networks (BANs) using a finite repeated non-cooperative game for transmit power control. With no coordination amongst these personal sensor networks, the proposed game maximizes each network's packet delivery ratio (PDR) at low transmit power. In this context, we provide a novel utility function, which gives reduced benefit to players with higher transmission power, and a subsequent reduction in radio interference to other coexisting BANs. Considering the purpose of inter-BAN interference mitigation, PDR is expressed as a compressed exponential function of inverse signal-to-interference-and-noise ratio, so it is essentially a function of transmit powers of all coexisting BANs. It is shown that a unique Nash Equilibrium (NE) exists, and hence there is a subgameperfect equilibrium, considering best response at each stage independent of history. In addition, the NE is conjectured to be the socially optimal solution according to all possible action profiles. Realistic and extensive on- and inter-body channel models are employed. Results confirm the effectiveness of the proposed scheme in better interference management, greater reliability, and reduced transmit power when compared with other schemes that can be applied in BANs.
AB - In this article, we enable the coexistence of multiple wireless body area networks (BANs) using a finite repeated non-cooperative game for transmit power control. With no coordination amongst these personal sensor networks, the proposed game maximizes each network's packet delivery ratio (PDR) at low transmit power. In this context, we provide a novel utility function, which gives reduced benefit to players with higher transmission power, and a subsequent reduction in radio interference to other coexisting BANs. Considering the purpose of inter-BAN interference mitigation, PDR is expressed as a compressed exponential function of inverse signal-to-interference-and-noise ratio, so it is essentially a function of transmit powers of all coexisting BANs. It is shown that a unique Nash Equilibrium (NE) exists, and hence there is a subgameperfect equilibrium, considering best response at each stage independent of history. In addition, the NE is conjectured to be the socially optimal solution according to all possible action profiles. Realistic and extensive on- and inter-body channel models are employed. Results confirm the effectiveness of the proposed scheme in better interference management, greater reliability, and reduced transmit power when compared with other schemes that can be applied in BANs.
KW - Body area networks
KW - Distributed and collaborative signal processing
KW - Energy and resource management
KW - Game theory
KW - Interference mitigation
UR - http://www.scopus.com/inward/record.url?scp=84988410111&partnerID=8YFLogxK
U2 - 10.1145/2932191
DO - 10.1145/2932191
M3 - Article
SN - 1550-4859
VL - 12
JO - ACM Transactions on Sensor Networks
JF - ACM Transactions on Sensor Networks
IS - 4
M1 - 2932191
ER -