An Efficient Data Aggregation Approach for Prolonging Lifetime of Wireless Sensor Network

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Abstract

In today’s environment the aim of wireless sensor network is not restricted to data gathering. But also focus on extraction of useful information. Data aggregation is the term used for extraction of useful information. Data aggregation helps in gathering and aggregating data in energy-efficient way so that network lifetime is heightened. This paper presents a data aggregation approach Mutual Exclusive Sleep Awake Distributed Data Aggregation (MESA2DA). This approach merges with our previous work Mutual Exclusive Sleep Awake Distributed Clustering (MESADC). MESA2DA approach selects cluster head on the basis of MESADC protocol. After that, data aggregation is done by cluster head on its cluster members to remove redundancy, so that the packets delivered to base station are reduced which helps in prolonging lifetime of wireless sensor network. The results obtained with MESA2DA approach are compared with HEED protocols in terms of average energy, delay, throughput, and packet delivery ratio and one finds that the proposed approach is efficient in prolonging lifetime of wireless sensor network.

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Gupta, B., Rana, S., & Sharma, A. (2020). An Efficient Data Aggregation Approach for Prolonging Lifetime of Wireless Sensor Network. In Advances in Intelligent Systems and Computing (Vol. 1059, pp. 137–147). Springer. https://doi.org/10.1007/978-981-15-0324-5_12

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