Abstract
In this paper, cooperative communication (CC) assisted cognitive wireless sensor network (CWSN) is presented for monitoring health and activity of an end-user in a smart indoor environment. The cooperative communication ensures better data delivery by utilizing minimum resources and also helps to track the location of the user, non-intrusively. The increase in demand for wireless sensor network insists various factors, such as spectrum sensing, sharing and optimal utilization of resources in various applications. CWSN is considered as a promising technology that improves spectrum utilization and communication quality. The study proposes a payload-centric adaptive multi-channel hopping (PC-AMCH) algorithm in CC enabled CWSN to further improve energy efficiency of conventional multi-channel wireless sensor networks, especially in a smart home-care system. All participated nodes, such as wearable cognitive node (C), relay nodes (Rn) and a destination node (D) are indigenously developed by involving CC2530 microcontroller that consists of an in-built transceiver at 2.4 GHz. Further, an adaptive relay selection scheme is used to establish a dynamic link between wearable cognitive node (C) and relay node (Rn) by analyzing factors such as, link quality indicator (LQI) and received signal strength indicator (RSSI). The performance of developed nodes is evaluated in terms of throughput, packet delivery ratio (PDR), RSSI and transmission offset. Similarly, the performance of proposed PC-AMCH is validated by measuring PDR, number of transmission, energy efficiency.
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