Abstract
Collision detection mechanisms in Wireless Sensor Networks (WSNs) have largely been revolving around direct demodulation and decoding of received packets and deciding on a collision based on some form of a frame error detection mechanism, such as a CRC check. The obvious drawback of full detection of a received packet is the need to expend a significant amount of energy and processing complexity in order to fully decode a packet, only to discover the packet is illegible due to a collision. In this paper, we propose a suite of novel, yet simple and power-efficient algorithms to detect a collision without the need for full-decoding of the received packet. Our novel algorithms aim at detecting collision through fast examination of the signal statistics of a short snippet of the received packet via a relatively small number of computations over a small number of received IQ samples. Hence, the proposed algorithms operate directly at the output of the receiver's analog-to-digital converter and eliminate the need to pass the signal through the entire. In addition, we present a complexity and power-saving comparison between our novel algorithms and conventional full-decoding (for select coding schemes) to demonstrate the significant power and complexity saving advantage of our algorithms.
Highlights
Most research activities in WSNs focus on maximizing the network lifetime and minimizing the power con-How to cite this paper: Alassery, F., Ahmed, W.K.M., Sarraf, M. and Lawrence, V. (2015) A Novel Low-Complexity Low-Latency Power Efficient Collision Detection Algorithm for Wireless Sensor Networks
In this paper we pose the following questions: Can we propose a power-efficient technique to detect packets’ collisions at the receiver side of WSNs without the need for full-decoding of received packets? Further, can we eliminate the need to pass corrupted packets through the entire demodulator/decoder? From the perspective of achieving an efficient collision detection scheme at the receiver-side of WSNs we propose a suite of novel, yet simple and power-efficient algorithms to detect a collision without the need for full-decoding of the received packet
The statistical analysis and characterization are evaluated conditional on a collision or no-collision event in order to isolate the statistical characteristics of the metrics from the collision statistics, which can be dependent upon the MAC mechanism and other system parameters such as the specifics of the path loss distributions encountered by the sensors, which would affect the level of the received signal-to-interference-plus-noise ratio (SINR) ...etc
Summary
How to cite this paper: Alassery, F., Ahmed, W.K.M., Sarraf, M. and Lawrence, V. (2015) A Novel Low-Complexity Low-Latency Power Efficient Collision Detection Algorithm for Wireless Sensor Networks. In this paper we pose the following questions: Can we propose a power-efficient technique to detect packets’ collisions at the receiver side of WSNs without the need for full-decoding of received packets? From the perspective of achieving an efficient collision detection scheme at the receiver-side of WSNs we propose a suite of novel, yet simple and power-efficient algorithms to detect a collision without the need for full-decoding of the received packet. With a relatively short measurement period, the SD scheme can achieve low False-Alarm and Miss probabilities It achieves a reliable collision-detection mechanism at the receiver-side of WSNs in order to minimize the receiption power consumption.
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