JOURNAL ARTICLE

Storage node based routing protocol for Wireless Sensor Networks

Abstract

Efficient routing is a key concern for the execution of high performance query processing in Wireless Sensor Networks (WSN). Existing routing protocols lack the efficiency in terms of energy consumption, accuracy and timing response. Data storage and processing constraints in sensor nodes also hinder the efficient and timely response in various applications, especially in healthcare, where, many vital data are collected from the patients using wireless devices. These data can be crucial for saving the patient's life. Thus, an efficient, accurate and fast routing protocol is of utmost importance in healthcare. Present routing protocols in hierarchical network protocols, the cluster heads are selected from general sensor nodes, however the storage and processing constraints perceive in the usual wireless biomedical sensors as the processing requires more energy consumption and the storage capacity is limited. In this paper we propose a novel routing protocol by utilizing Storage nodes. We evaluate and prove the feasibility of the proposed protocol through extensive simulations. Simulation results show that the protocol is more energy efficient, faster and data resilient compared to other techniques.

Keywords:
Computer science Routing protocol Zone Routing Protocol Wireless Routing Protocol Computer network Dynamic Source Routing Distributed computing Wireless sensor network Interior gateway protocol Link-state routing protocol Enhanced Interior Gateway Routing Protocol Efficient energy use Routing (electronic design automation) Engineering

Metrics

7
Cited By
0.72
FWCI (Field Weighted Citation Impact)
9
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Wireless Body Area Networks
Physical Sciences →  Engineering →  Biomedical Engineering
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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