EEDS: ENERGY- EFFICIENT AND DELAY-SENSITIVE MECHANISM FOR IMPROVING NETWORK LIFESPAN WITH WBAN

Authors

  • PREETI NEHRA
  • SONALI GOYAL

Keywords:

Intelligent Transportation Systems, Wireless Sensor Networks, Routing Protocol for Low Power and Lossy Network, Internet of Things.

Abstract

With implications in intelligent modes of transportation, automation in homes, agriculture, and self-driving cars, wireless networks of sensors, or WSNs, have risen in importance in the context of the Internet of Things (IoT). The entire communication system between nodes that sense and the sink represents an important concern in terms of energy and system lifespan because device nodes are restricted by battery power. It looks like the nodes near the analysis sink remain involved in data transfer. In addition to this, nodes that are situated closer to the sink absorb energy far more rapidly than nodes that are away from it. Sink accessibility can solve the earlier issue. RPL has been created to regulate node mobility in wireless networks utilizing a shortage of energy.  One of the suggested initiatives is to determine the RPL protocol's effectiveness with a randomized and stationary sink node. The paper outlines how RPL performance could possibly be boosted going into the future and conveys the results of present rules determined by a variety of routing standards. Two distinct situations with 25 and 50 nodes are looked at for comparison. Networking simulator 2.35 has been utilized for simulation. Two unique scenarios: random sink node and static sink node—are further categorized into two environments. The system gets evaluated utilizing the following metrics such as average efficiency, packet delivery number, average E2E delay, as well as usage of energy. Simulations suggest that implementing a movable sink promotes system performance as the whole.

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How to Cite

NEHRA, P., & GOYAL, S. (2025). EEDS: ENERGY- EFFICIENT AND DELAY-SENSITIVE MECHANISM FOR IMPROVING NETWORK LIFESPAN WITH WBAN. TPM – Testing, Psychometrics, Methodology in Applied Psychology, 32(S3(2025) : Posted 07 July), 2345–2353. Retrieved from https://tpmap.org/submission/index.php/tpm/article/view/1588