Optimal Partial Aggregation Based Energy Delay Compromise Technique for Wireless Sensor Network

ABSTRACT

Wireless sensor networks mostly use aggregated node to collect data from sensor nodes in the network. The data aggregation process creates a major problem in normal data transmission such as energy consumption and delay. Many researchers have handled many time data aggregation problems and some aggregation functions used to aggregate multiple data into one or every data into one, which reduce energy consumption. In this paper, we propose optimal partial aggregation technique for compromise of both energy and delay. First, we compute data aggregation node in sensor networks based on the lifetime. The lifetime of sensor nodes depends on time-varying factors, such as consumed energy for sending data from leaves to aggregated node, queuing delay during aggregation, and tree depth delay. The time-varying lifetime is optimized by modified multi-fruit fly optimization algorithm and then higher lifetime nodes are selected as aggregated nodes. Second, the modified time on task (ToT) algorithm is used to minimize waiting time of aggregation delay. Third, a non-dominated sorting gravitational searching algorithm (NSGSA) is used to compute lifetime efficient routing path between source and destination via aggregated nodes. Simulations show that the proposed OPA technique improves energy and delay consumption with efficient lifetime compared with existing data aggregation techniques.

KEYWORDS:

• Aggregation nodes
• Multi-fruit fly optimization algorithm (MFOA)
• Non-dominated sorting gravitational searching algorithm (NSGSA)
• Optimal partial aggregation (OPA)
• Time on task (ToT)

ORCID

A. Raja Basha http://orcid.org/0000-0002-2327-2848

Additional information

Notes on contributors

A. Raja Basha

Raja Basha (Adam Raja Basha) obtained his Bachelor’s degree in Electronics and communication engineering and Master of Engineering in Power Electronics and Drives from Anna University, Chennai, Tamil Nadu, India, in 2005 and 2011, respectively. He is currently a Research Scholar in the Department of Information Technology, Sri Venkateswara College of Engineering (Autonomous), Pennalur, Sriperumbudur, Tamil Nadu, India. He has over nine years of Teaching and Industrial Experience and he is a permanent member of ISTE. He has presented many papers in national and international Conferences. His research interest includes wireless sensor networks, electron devices, wireless networks, computer architecture and embedded systems.

C. Yaashuwanth

Dr C. Yaashuwanth (Calpakkam Yaashuwanth) received the B. Tech degree from the Department of Information Technology and Master of Engineering in Embedded System from the Department of Electrical Engineering both from Anna University, Chennai, Tamil Nadu, India, in 2007 and 2009, respectively, and the Ph.D. degree from Anna University, Chennai, Tamil Nadu, India, in 2012. From 2009 to 2012 and currently he is working as Associate Professor, in the Department of Information Technology, Sri Venkateswara College of Engineering (Autonomous), Pennalur, Sriperumbudur, Tamil Nadu, India. His research interests are in embedded system for wireless networks, wireless sensor networks, and heterogeneous wireless networks. Dr C. Yaashuwanth has published many research articles in leading journals and conferences.