# Investigation of Energy Cost of Data Compression Algorithms in WSN for IoT Applications
## 4 Hybrid Model for Run Length Encoding with Adaptive Huffman Encoding
### Hybrid Algorithm
This is important for practical WSNs where the sensed data needs to be secured before compression and transmission. In terms of security, ECC is studied, and simulation results show that it does not add any significant overheads which can cause the network lifetime to increase. However, if more complex encryption algorithms, such as Elliptic Curve Digital Signature (ECDSA) and Elliptic Curve Diffie-Hellman (ECDH) [53] are used, the effect is likely to be significant. This would form part of future investigative research. In the future, efforts may broaden towards data aggregation to further enhance the network's efficiency. Data aggregation involves combining data packets using various bio-inspired routing strategies [54; 55]. To do this, the minimum, maximum, and/or mean of sets of data obtained from sensor nodes are manipulated before being sent on to the sink. It is important to use routing algorithms and data compression techniques for effective data aggregation [56]. Conceptualization, M.M. ; Supervision, G.S.G. ; Validation, X.G. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. No new data were created or analyzed in this study. Data sharing is not applicable in this article. The authors declare no conflict of interest. The statements made herein are solely the responsibility of authors. ## References

* (1) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review. _Sensors_**2022**, 22, 2087. [CrossRef]
* (2) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A Sanitization Approach to Secure Shared Data in an IoT Environment. _IEEE Access_**2019**, 7, 25359-25368. [CrossRef]
* (3) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models. _Sensors_**2013**, 13, 3473-3500. [CrossRef]
* (4) [PERSON]; [PERSON] Energy-efficient medium access control and routing protocol for multihop wireless sensor networks. _IET Wirel. Sens. Syst._**2018**, _8,_ 99-108. [CrossRef]
* (5) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Reliable spatial and temporal data redundancy reduction approach for WSN. _Comput. Netw._**2020**, _185_, 107701. [CrossRef]
* (6) [PERSON]; [PERSON] A Strategy for Elimination of Data Redundancy in Internet of Things (IoT) Based Wireless Sensor Network (WSN). _IEEE Syst. J._**2018**, _13_, 1650-1657. [CrossRef]
* (7) [PERSON]; [PERSON] A fault tolerant approach to extend network life time of wireless sensor network. In Proceedings of the 2015 International Conference on Advances in Computing, Communications and Informatics, Kochi, India, 10-13 August 2015; pp. 993-998. [CrossRef]
* (8) [PERSON]; [PERSON] Efficient wireless sensor network using nodes sleep/active strategy. In Proceedings of the International Conference on Inventive Computation Technologies (ICICT), Coimbatore, India, 26-27 August 2016; Volume 2, pp. 1-4. * (9) [PERSON]; [PERSON]; [PERSON] A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications. _J. King Saud Univ. Comput. Inf. Sci._**2021**, _33_, 119-140. [CrossRef]
* (10) [PERSON]; [PERSON] Lossless Data Compression Algorithm to Save Energy in Wireless Sensor Network. In Proceedings of the 4 th International Conference on Green Technology and Sustainable Development (GTSD), Ho Chi Minh City, Vietnam, 23-24 November 2018; pp. 597-600. * (11) [PERSON]; [PERSON]; [PERSON]. A new lossy compression algorithm for wireless sensor networks using Bayesian predictive coding. _Wirel. Netw._**2020**, _5981-5995. [CrossRef]
* (12) [PERSON]; [PERSON]; [PERSON] Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications. _Inf. Sci._**2016**, _329_, 800-818.