The major concerns in Wireless Sensor Networks (WSN) are energy efficiency as they utilize small sized batteries, which can neither be replaced nor be recharged. Hence, the energy must be optimally utilized in such battery operated networks. One of the traditional approaches to improve the energy efficiency is through clustering. In this paper, a hybrid differential evolution and simulated annealing (DESA) algorithm for clustering and choice of cluster heads is proposed. As cluster heads are usually overloaded with high number of sensor nodes, it tends to rapid death of nodes due to improper election of cluster heads. Hence, this paper aimed at prolonging the network lifetime of the network by preventing earlier death of cluster heads. The proposed DESA reduces the number of dead nodes than Low Energy Adaptive Clustering Hierarchy (LEACH) by 70%, Harmony Search Algorithm (HSA) by 50%, modified HSA by 40% and differential evolution by 60%. © 2016 Faculty of Engineering, Ain Shams University

Shankar T

Department of Communication Engineering

School of Electronics Engineering

Vellore Campus

Rajesh A

Potthuri S

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Ain Shams Engineering Journal

In large scale wireless sensor networks, energy consumption and optimization are a major challenge. Most of the protocols designed for cluster based routing problems suffer from unbalanced energy consumption. In this research work, an energy efficient clustering and routing protocol has been devised. An improved cuckoo search algorithm which uses a novel multiobjective fitness function have been proposed for optimal cluster head selection. Further, Monkey search algorithm has been used to find the optimal path from the cluster head to the sink nodes. The algorithm has been compared with some existing metaheuristics and significant improvements in number of alive nodes, energy efficiency has been observed. © 2019 IEEE.

2019 Innovations in Power and Advanced Computing Technologies (i-PACT)

Integrated Cuckoo and Monkey Search Algorithm for Energy Efficient Clustering in Wireless Sensor Networks

Energy efficiency is a major concern in wireless sensor networks as the sensor nodes are battery-operated devices. For energy efficient data transmission, clustering based techniques are implemented through data aggregation so as to balance the energy consumption among the sensor nodes of the network. The existing clustering techniques make use of distinct Low-Energy Adaptive Clustering Hierarchy (LEACH), Harmony Search Algorithm (HSA) and Particle Swarm Optimization (PSO) algorithms. However, individually, these algorithms have exploration-exploitation tradeoff (PSO) and local search (HSA) constraint. In order to obtain a global search with faster convergence, a hybrid of HSA and PSO algorithm is proposed for energy efficient cluster head selection. The proposed algorithm exhibits high search efficiency of HSA and dynamic capability of PSO that improves the lifetime of sensor nodes. The performance of the hybrid algorithm is evaluated using the number of alive nodes, number of dead nodes, throughput and residual energy. The proposed hybrid HSA–PSO algorithm shows an improvement in residual energy and throughput by 83.89% and 29.00%, respectively, than the PSO algorithm. © 2016 Elsevier B.V.

Swarm and Evolutionary Computation

Hybrid HSA and PSO algorithm for energy efficient cluster head selection in wireless sensor networks

In recent years, issues on greenhouse pollution and power consumption related to the operation of information communication technology (ICT) devices have triggered a huge amount of research work towards green radio communication. Many of the power efficient solutions will introduce cost performance trade-offs. The energy efficient solution which also takes care of the quality requests of the mobile customer is really required for the 5G based green radio communication. It is identified that enhanced nodeBs (eNB) are power inefficient and not suited for many deployment scenarios. Multihop relay (MHR) network is the suitable alternate for eNB especially in the coverage holes and cell edges. But MHR network suffers by various quality issues like site planning and path selection. Many of the site planning and path selection schemes will fail under network imbalance conditions. In this work, we have proposed a hybrid throughput oriented (TO) - load aware spectral efficient routing (LASER) scheme which offers high performance even under network load imbalance conditions. The simulation results proved that the proposed scheme is more suited for future green radio communication. © 2015 River Publishers.

Journal of Green Engineering

Quality of Service Aware Multi-Hop Relay Networks for Green Radio Communication

SpringerBriefs in Optimization,Mathematical Foundations of Nature-Inspired Algorithms

Nature-Inspired Algorithms

AUSTRALIAN JOURNAL OF BASIC AND APPLIED SCIENCES

Optimization of Car Suspension Parameters Using Genetic Algorithms

i-manager’s Journal on Wireless Communication Networks

Balanced Unequal Clustering Algorithm For Wireless Sensor Network

Lifetime Improvement in Wireless Sensor Networks using Hybrid Differential Evolution and Simulated Annealing (DESA)

Journal	Data powered by TypesetAin Shams Engineering Journal
Publisher	Data powered by TypesetElsevier BV
ISSN	2090-4479
Open Access	No