Open AccessFinding optimal transmission strategy for intra‐WBAN communications
Author(s) -
Roy M.,
Chowdhury C.,
Bhattacharyya S.,
Aslam N.
Publication year - 2020
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2020.2169
Subject(s) - markov decision process , computer science , robustness (evolution) , body area network , transmission (telecommunications) , network packet , wireless , computer network , markov process , data transmission , wearable computer , computation , wireless sensor network , mathematical optimization , real time computing , algorithm , telecommunications , embedded system , mathematics , biochemistry , statistics , chemistry , gene
This Letter proposes a stochastic model of the wearable sensor nodes of a wireless body area network (WBAN) based on Markov decision process (MDP). The proposed technique tackles the problem of maximising the likelihood of data transmission while minimising the computational cost and energy. Suitable transmission strategies subject to the energy level of the nodes and channel conditions are needed to be investigated to strike a balance between network lifetime and packet delivery ratio. MDP formulation of the problem is solved offline to find out the optimal transmission strategies for the representative input conditions. The results of this offline computation approach can directly map to optimal transmission policies for intra‐WBAN communications. The experimental results demonstrate the robustness of the proposed scheme in handling both favourable and unfavourable operating conditions.