TY  - JOUR
T1  - A Novel Fuzzy Integrated Fault-Tolerant and Energy-Efficient Routing Protocol for Wireless Sensor Network
AU - Raghunath, K.M. Karthick AU - Rengarajan, N. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 8
SP  - 1289
EP  - 1296
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1289.1296
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1289.1296
KW  - WSN
KW  -reactive routing
KW  -link failure
KW  -fuzzification
KW  -defuzzification
KW  -multi-optimal routing
KW  -packet delivery ratio
AB  - For a long time, Multi-hop Wireless Sensor Network (WSN) communication continuous to be the predominant network for several applications. Such systems are often prone to link or node failures due to various factors and ultimately increases contention, significant overheads, etc. Moreover, deployed nodes in the network are energy constraint and thus utilization of limited energy resource with reliable routing always poses research challenges. Some of the traditional routing protocols like DSR and AODV and their recent advanced variants expose approximate negative tradeoff between fault-tolerance and energy efficient routing. In this study, a novel Fuzzy Integrated Fault-Tolerant and Energy-Efficient Routing Protocol (FI-FERP) is proposed. We design and apply fuzzy rule matrix to determine multi-optimal routing paths between source and destination along with energy concerned interesting patterns. Since the basic concept of fuzzy logic manages to provide a clear, logical outcome, its rule-set consolidation on decision-making sector plays a vital role in the discovery of optimal routing paths and provides high-quality alternative paths in case of link/node failures. Consequently, all the participating intermediate nodes along the routing path are self-evaluated against possible hardware faults such as transceiver and microcontroller faults. Simulation solvents of FI-FERP have shown betterments in packet delivery ratio against node/link failure, decreases the control packet overheads with optimal energy consumption.
ER  -