1. ACESS
- Author
-
Jinsung Cho, Daeyoung Kim, Ben Lee, and BeomSeok Kim
- Subjects
IEEE 802 ,Markov chain ,SIMPLE (military communications protocol) ,business.industry ,Computer science ,05 social sciences ,050801 communication & media studies ,020206 networking & telecommunications ,02 engineering and technology ,Telecommunications network ,0508 media and communications ,0202 electrical engineering, electronic engineering, information engineering ,Wireless ,Sensitivity (control systems) ,business ,Selection (genetic algorithm) ,Computer network ,Communication channel - Abstract
A Wireless Body Area Networks (WBAN) is a communication network that provides both medical and consumer electronics (CE) services by using sensor devices in, on, or around a human body. To provide reliable communication with low power consumption for in-body communication, the IEEE 802.15.6 provides Medical Implant Communication Service (MICS) band and defines its communication policy. However, MICS band communication suffer from the coexistence problem, which causes significant performance degradation due to high-density deployment and network-level mobility of WBANs. In addition, existing coexistence mitigation schemes in IEEE 802.15.6 do not consider the MICS band. To overcome the coexistence problem, numerous studies have been conducted for multi-channel usage in WBANs, but they just include simple channel selection schemes which do not provide reliable channel selection. This paper proposes an Adaptive Channel Estimation and Selection Scheme (ACESS) for coexistence mitigation in WBANs. The proposed method maintains a history table and predicts the conditions of available channels based on two-state Markov chain with an exponentially controlled channel history, which can control the sensitivity of prediction. Our simulation study show that the proposed scheme can improve communication performance in terms of Packet Reception Ratio (PRR) under coexistence environments with multiple WBANs.
- Published
- 2016