MCEEC: MULTI-HOP CENTRALIZED ENERGY

EFFICIENTCLUSTERING ROUTING PROTOCOL FOR WSNS

N. Javaid, M. Aslam, K. Djouani, Z. A. Khan, T. A. Alghamdi

Outline

Abstract Introduction Related Work Problem Statement Proposed Network Model Proposed Model Results Conclusion

Abstract

Proposed a Multi-hop Centralized Energy Efficient Clustering (MCEEC)

Execution of MCEEC clustering is performed by advanced central control algorithm

Each node is capable of sensing two types of environmental dynamics Temperature Humidity

Continue…

CH selection criteria Multi-hop inter-cluster communication for MCEEC. Network deployment for MCEEC operation

MCEEC provides Long network lifetime Long stability period

Introduction (1/2)

Modern progression in Micro Electro Mechanical System (MEMS)

Individual Sensor Capability WSN Architecture Applications Energy constrain Energy efficient routing techniques

Introduction (2/2)

Types of WSNs Types of Energy efficient routing protocols Main objective of routing protocols Intra cluster communication and Inter cluster communication Multi-hoping advantages We proposed MCEEC

Related Work

Types of clustering routing protocols Homogeneous and Heterogeneous Networks Single-hop inter-cluster communication and multi-hop inter-

cluster communication. LEACH MLEACH SEP DEEC LEACH-C

Problem Statement

Low network lifetime and stability of WSNs Limited battery capacity Un guaranteed CHs selection of distributed algorithms Lack of network deployment planning Large network area High network density Single-hop intra and inter-cluster communication

Proposed Network Model

Proposed Network Model Clustering Mechanism

Proposed Model of MCEEC

MCEEC’s advanced centrally controlled algorithm Parameters for the selection of CHs Heterogeneity awareness of MCEEC Multi-hoping Inter-cluster Communications Clustering and Multi-hoping restrictions for MCEEC Network Settling Phase (NSP) and Network Transmission

Phase (NTP)

Network Settling Phase (NSP) of MCEEC (1/2) CHs selection Types of nodes and regions of networks Total Energy network

CHs selection restrictions Average energy of each type node

Network Settling Phase (NSP) of MCEEC (2/2) For normal nodes

For Advance nodes

For Super nodes Required number of CHs Distance to BS Comparison and CHs selection Association Phase.

Network Transmission Phase (NTP)

Transmission of sensed data CHs aggregate received data CHs compress aggregated data Only transmit Meaning full information Single-hop intra cluster-communication Multi-hop inter cluster-communication

Radio Model Used in MCEEC

Radio Model

Energy consumption

Results

Simulation Parameters

Alive Nodes for first scenario

Stability period increased Due to the uniform random

deployment of nodes Centralized cluster

formation Multihoping in inter-cluster

Dead Nodes for first scenario

Late start of instability

period as compared

to the other routing

protocols Transmission

responsibilities of

nodes according

to their remaining energies

Cluster-Heads Generation for first scenario

Guaranteed number

of CHs per round Centralized controlled

selection of CHs LEACH, SEP, E-SEP and

DEEC do not provide

guaranteed number

of CHs

Alive Nodes for second scenario

Guaranteed number

of CHs provide high

throughput Throughput

enhancement is due

to multi-hop

communication approach CHs transmit data in short

range

Dead Nodes for second scenario

Number of dead node

slowly increase as

compared to LEACH,

DEEC, SEP and ESEP

Cluster-Heads Generation for second scenario Fluctuations in CHs

selection per round

increased

Packets send to BS for second scenario Better throughput of

MCEEC as compared

to selected

routing protocols

Conclusion

We propose MCEEC routing protocol for three level heterogeneous WSNs

MCEEC bases on the concept of heterogeneous-aware clustering like SEP, E-SEP and DEEC.

Major improvement is centralized clustering algorithm MCEEC provides scalability MCEEC outperform

LEACH SEP E-SEP DEEC