kumoh national institute of technology
Networked Systems Lab.

Etobi Damian Tita, Williams-Paul Nwadiugwu and Dong-Seong Kim, ''Real-time Optimizations in Energy Profiles and End-to-End Delay In WSN for IoT Applications'', Computer Communications: (IF: 2.73) (in Minor Revision).
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Date : 2020-06-04
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This paper proposes a routing protocol established upon the IEEE 802.15.4a that enhances the delay and energy efficiency in Wireless sensor networks (WSN) for Internet of Things (IoT) applications. Owing to the miniaturized form and non-rechargeable nature, nodes deployed in WSN suffer from
energy constraints and limited computational abilities which influences the delay and energy consumption. Motivated by this, the proposed scheme introduces a novel potential relay
information (PRI) metric function which measures the routing potential of nodes in WSN to enable them seek the best route to successfully deliver data packets to the destination in a delay
and energy cost efficient way that prolongs the system lifetime. A preemptive neighborhood state index (NSI) function which allows nodes to view two-hops down its routing path to make good forwarding decisions that minimizes delay and balances load traffic across the system is devised. Furthermore, a proactive feedback technique is designed to significantly simplify the update of two
-hop information in order to address the excessive pursuing of energy consumption resulting from overhead packets. Simulation results show that the proposed scheme outperforms the compared
algorithms in terms of the network lifetime, packet delivery ratio (PDR), end-to-end delay and energy consumption. Moreover, the results reflect good quality of service which supports real
timeliness for IoT applications.

Index Terms—End-to-end delay, link-rates, neighborhood state index, potential relay information, real-time, residual energy, WSN.