Sensing-based adaptive data reporting scheme in wireless sensor networks

Wireless sensor networks (WSNs) typically have a massive number of the sensor devices. The battery-powered (BP) sensor devices are the conventional type that has low transmission power due to the limited battery lifetime. The energy harvesting (EH) sensor devices can recharge their battery and therefore may transmit data with high transmission power. However, due to the low transmission power of the BP sensor device, the data reporting process can suffer from high access failure probability. To address this problem, we propose a sensing-based adaptive data reporting scheme. According to the spectrum sensing results, each sensor device determines the time and duration of data reporting. The sink node resolves the collisions by detecting the variation of the received signal power. The simulation results show that the proposed scheme decreases the access failure probability and increases the total number of successful reportings per frame.

[1]  Erkam Uzun,et al.  The Impact of Transmission Power Control Strategies on Lifetime of Wireless Sensor Networks , 2014, IEEE Transactions on Computers.

[2]  Ravindra Navanath Duche,et al.  Sensor Node Failure Detection Based on Round Trip Delay and Paths in WSNs , 2014, IEEE Sensors Journal.

[3]  Liudong Xing,et al.  Reliability based optimization in hybrid wireless sensor networks , 2015, 2015 Annual Reliability and Maintainability Symposium (RAMS).

[4]  Kewei Sha,et al.  Noname Manuscript No. (will Be Inserted by the Editor) Multipath Routing Techniques in Wireless Sensor Networks: a Survey , 2022 .

[5]  Y. C. Tay,et al.  Collision-minimizing CSMA and its applications to wireless sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[6]  Katia Obraczka,et al.  Energy-efficient collision-free medium access control for wireless sensor networks , 2003, SenSys '03.

[7]  Sajal K. Das,et al.  Class-Based Data Reporting Scheme in Heterogeneous Wireless Sensor Networks , 2009, 2009 Proceedings of 18th International Conference on Computer Communications and Networks.

[8]  Daniela Tuninetti,et al.  Repetition Protocols for Block Fading Channels that Combine Transmission Requests and State Information , 2008, 2008 IEEE International Conference on Communications.

[9]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[10]  Mohamed Hossam Ahmed,et al.  Joint Cooperative Routing and Power Allocation for Collision Minimization in Wireless Sensor Networks With Multiple Flows , 2015, IEEE Wireless Communications Letters.

[11]  Djamel Djenouri,et al.  Congestion Control Protocols in Wireless Sensor Networks: A Survey , 2014, IEEE Communications Surveys & Tutorials.

[12]  Gianluigi Ferrari,et al.  Optimal Transmit Power in Wireless Sensor Networks , 2006, IEEE Transactions on Mobile Computing.

[13]  A. B. M. Alim Al Islam,et al.  A study on combining power management and power control for wireless sensor networks , 2015, 2015 International Conference on Networking Systems and Security (NSysS).

[14]  Sajal K. Das,et al.  Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey , 2011, TOSN.