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IOARP Journal of Communication and Networks

IOARP Journal of Communication and Networks

Volume 2, Issue 3, September 2018

IOARP Journal of Communication and Networks (IOARP JCN) aims to provide an opportunity to the scientists, researchers, engineers, physicists, applied mathematicians, and practitioners to publish their high-quality research on fundamental advances, the current state of the technology, outcomes of ongoing research, and emerging issues in the domains of communication and networks. We are particularly interested in publishing cutting-edge communication and networks research converging with the domains such as; engineering and physical sciences, social sciences and humanities, and life, health, and biomedical sciences.

Volume 2
Issue 3, September 2018
IOARP Journal of Communication and Networks (JCN)
15 October 2018
Dr M Adeel
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Journal Homepage on Global Digital Library

Efficient Data Aggregation Scheme in Secure Tree based Wireless Sensor Networks (EDAS)

Khalid Khan

Wireless sensor networks (WSNs) have emerged as an important area of research from the last two decades. In WSNs, sensors have limited memory, computational capability and battery power. One of the solutions to these issues is to reduce the data transmission and today, various data aggregation protocols have been proposed to reduce network traffic. But they created security issues like authentication, data integrity and freshness. Hop-by-hop secure data aggregation protocols were proposed to provide security along with data aggregation function. But, data on the aggregators still need to be secured because aggregators are exposed to node compromises. End-to-end secure data aggregation protocols are proposed. They provide end-to-end security and privacy of data. One of these protocols is Secure End-to-End Data Aggregation (SEEDA), which ensured end-to-end privacy of data. However, the protocol has higher communication cost and computational overheads because it sends extra bits/data regarding non-responding nodes and performs unnecessary computations for non-responding nodes. I proposed new protocol, EDAS which reduces 12% to 25% communication and computational overheads as compared to SEEDA and it is also efficient in energy consumption.