Padmalaya Nayak, and Bhavani Vathasava Energy Efficient Clustering Algorithm for Multi-Hop Wireless Sensor Network Using Type-2 Fuzzy Logic 2017 IEEE Sensors Journal Padmalaya Nayak, and Bhavani Vathasava ADVISOR: DR. HO-TING WU Speaker: Jin-wei Lin

Outline Introduction Related Work System Model Simulation & Result Conclusions

Introduction An important design issue in WSNs is to reduce the energy consumption by the use of energy conserving hardware, operating system and communication protocols. Transmission energy that dominates overall energy consumption.

Introduction To design a suitable protocol, few of parameters discussed here. Self-Organizing Capability Network Lifetime Load balancing Scalability Latency Clustering

Introduction LEACH & LEACH-C (centralized LEACH) Randomized probabilistic model Local information for data transfer Low energy media access control Application specific data processing

Fuzzy Logic is considered Simple and flexible to take real time decisions under uncertain environment. T2FL is more accurately.

Related Work Hierarchical Routing Protocols Based on Clustering FL Based Clustering Protocol

Hierarchical Routing Protocols Based on Clustering LEACH Random number of CHs CHs are too closed CPU cycles are consumed CH is located near to boundary LEACH-C Better clusters are formed by base station(BS)

FL Based Clustering Protocol CHEF proximity distance energy Better than LEACH 22.7% Another method concentration centrality

Fuzzy Logic

System Model System Assumption All the sensor nodes are static All the sensor nodes have initial equal energy Distance between the BS and the sensor node is computed based on RSSI A stand by CH (SB-CH) is elected in the last level of the chain (nearer to the BS)

System Model Algorithm

System Model Fuzzy Logic Model 3 parameters Remaining Battery Power Distance to BS Concentration These two functions can be represented (each one) by a Type-1fuzzy set membership function

System Model

System Model FOU : footprint of uncertainty FOU -> 0, T1FL Type2FL = Type1FL + FOU FOU -> 0~1, T2FL

Simulation and Result

Simulation and Result

T1FL

Conclusions LEACH provides an opportunity to improve in various parts of the protocol. T2FL Model handles the uncertainties more accurately than T1FL model. T2FL model provides better scalability, better lifetime compared to T1FL, LEACH single and LEACH multi-hop protocol.

REFERENCES Padmalaya Nayak, Bhavani Vathasavai ,” Energy Efficient Clustering Algorithm for Multi-Hop Wireless Sensor Network Using Type-2 Fuzzy Logic” , IEEE SENSORS JOURNAL, VOL. 17, NO. 14, JULY 15, 2017 Padmalaya Nayak, Anurag Devulapalli ,” A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime” , IEEE SENSORS JOURNAL, VOL. 16, NO. 1, JANUARY 1, 2016