CNS: a new energy efficient transmission scheme for wireless sensor networks |
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Authors: | Koushik Sinha Bhabani P Sinha Debasish Datta |
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Affiliation: | (1) Honeywell Technology Solutions, Bangalore, India;(2) ACM Unit, Indian Statistical Institute, Kolkata, India;(3) Deparment of EECE, IIT Kharagpur, Kharagpur, India |
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Abstract: | We present in this paper a new energy-efficient communication scheme called CNS (Compression with Null Symbol) that combines the power of data compression and communication through silent symbol. The concept of communication through silent symbol is borrowed from the energy efficient schemes proposed in Sinha (Proceedings
of 6th IEEE consumer communications and networking conference (CCNC), Las Vegas, pp. 1–5, 2009), Ghosh et al. (Proceedings
of 27th IEEE international performance computing and communications conference (IPCCC), USA, pp. 85–92, 2008), and Sinha and
Sinha (Proceedings of international conference on distributed computing and internet technologies (ICDCIT), LNCS, pp. 139–144,
2008). We show that the average theoretical energy saving at the transmitter by CNS is 62.5%, assuming an ideal channel and
for equal likelihood of all possible binary strings of a given length. Next, we propose a transceiver design that uses a hybrid
modulation scheme utilizing FSK and ASK so as to keep the cost/complexity of the radio devices low. Considering an additive
white gaussian noise (AWGN) channel and a non-coherent detection based receiver, CNS shows a saving in transmitter energy
by 30% when compared to binary FSK, for equal likelihood of all possible binary strings of a given length. Simultaneously,
there is a saving of 50% at the receiver for all types of data modulation due to halving of the transmitted data duration,
compared to binary encoding. In contrast, RBNSiZeComm proposed in Sinha (Proceedings of 6th IEEE consumer communications and
networking conference (CCNC), Las Vegas, pp. 1–5, 2009), TSS proposed in Ghosh et al. (Proceedings of 27th IEEE international
performance computing and communications conference (IPCCC), USA, pp. 85–92, 2008) and RZE proposed in Sinha and Sinha (Proceedings
of international conference on distributed computing and internet technologies (ICDCIT), LNCS, pp. 139–144, 2008) generate
average transmitter energy savings of about 41, 20, and 35.2%, respectively. Also, at the receiver side, while RBNSiZeComm
does not generate any saving, TSS and RZE produce about 36.9 and 12.5% savings on an average, respectively. Considering certain
data types that may occur in the context of some wireless sensor networks (WSN) based applications (e.g., remote healthcare, agricultural WSNs, etc.), our simulation results demonstrate that for
AWGN noisy channels, the transmitter side savings vary from about 33–50% on an average, while for RBNSiZeComm, this saving
is about 33–61% on the same data set (Sinha in Proceedings of 6th IEEE consumer communications and networking conference (CCNC),
Las Vegas, pp. 1–5, 2009). Thus, taking into account the low cost/complexity of the proposed transceiver, these results clearly
establish that CNS can be a suitable candidate for communication in low power wireless sensor networks, such as in remote
healthcare applications, body area networks, home automation, WSNs for agriculture and many others. |
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