Energy-efficient clustering in mobile ad-hoc networks using multi-objective particle swarm optimization

Ali, Hamid; Shahzad, Waseem; Khan, Farrukh Aslam

doi:10.1016/j.asoc.2011.05.036

Cited by 133 publications

(73 citation statements)

References 7 publications

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“…There are models for efficient energy consumption in MANETs [5], WAHSNs [10], WSNs [54], and many others. The energy consumption model used in this work is based in [55], this model is also used in [26].…”

Section: Energy Consumptionmentioning

confidence: 99%

“…Sensor distribution is one of the fundamental problems in WAHSNs and regularly has been suboptimally solved by heuristic strategies such as genetic algorithms, among several others as shown by [4][5][6][7][8]. It is worth mentioning that sensor distribution with minimum energy connectivity is an NP-complete problem [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, in [6], the coverage area is optimized with Particle Swarm Optimization (PSO). Coverage area and energy are considered in a multiobjective version of PSO as shown in [5], where the parameters are controlled with a clustering approach. For routing management, Ant Colony is implemented in [36] as well as in [8].…”

Section: Introductionmentioning

confidence: 99%

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Multiobjective Optimization for a Wireless Ad Hoc Sensor Distribution on Shaped-Bounded Areas

Céspedes-Mota

Castañón

Martínez-Herrera

et al. 2018

Mathematical Problems in Engineering

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Resource efficiency in wireless ad hoc networks has become a widely studied NP-problem. This problem may be suboptimally solved by heuristic strategies, focusing on several features like the channel capacity, coverage area, and more. In this work, maximizing coverage area and minimizing energy consumption are suboptimally adjusted with the implementation of two of Storn/Price's Multiobjective Differential Evolution (DE) algorithm versions. Additionally, their extended representations with the use of random-parameter into the mutation operator were also evaluated. These versions optimize the initial random distribution of the nodes in different shaped areas, by keeping the connectivity of all the network nodes by using the Prim-Dijkstra algorithm. Moreover, the Hungarian algorithm is applied to find the minimum path distance between the initial and final node positions in order to arrange them at the end of the DE algorithm. A case base is analyzed theoretically to check how DE is able to find suboptimal solutions with certain accuracy. The results here computed show that the inclusion of random-and completion of the algorithm, where the area is pondered with 60% and the energy is pondered with 40%, lead to energy optimization and a total coverage area higher than 90%, by considering the best results on each scenario. Thus, this work shows that the aforementioned strategies are feasible to be applied on this problem with successful results. Finally, these results are compared against two typical bioinspired multiobjective algorithms, where the DE algorithm shows the best tradeoff.

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Section: Energy Consumptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multiobjective Optimization for a Wireless Ad Hoc Sensor Distribution on Shaped-Bounded Areas

Céspedes-Mota

Castañón

Martínez-Herrera

et al. 2018

Mathematical Problems in Engineering

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“…A vector corresponding to an optimal Pareto solution is mentioned as a non-dominated vector. To draw the aim function, a set of all solutions which are non-dominated are used that are called the Pareto forefronts [11,12,13].…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Performance Optimization of the Multi-Pumped Raman Optical Amplifier using MOICA

Jahromi¹,

Saif²,

Jabbari³

2016

ijacsa

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Abstract-In order to achieve the best gain profile for multi pump distributed Raman amplifiers in Wavelength Division Multiplexing (WDM) transmission systems, the power and wavelength of pumps, the type of pumping configuration and the number of pump signals are the most important factors. In this paper, using a Multi-Objective Imperialist Competition Optimization Algorithm (MOICA) with lowest power consumption and lowest number of pumps, we propose the most uniform gain profile for two types of pumping configurations in S-band and compare the results. Considering the design conditions including the type of pumping configuration, fiber length, fiber type and number of pump signals and using the multi-objective algorithm, we propose a method which can be used to achieve a gain level in which the amplifier has the lowest power consumption and lowest gain ripple. According to this, we can design a powerful WDM transmission system by Distributed Raman Amplifier (DRA) with a good performance and efficiency.

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“…In [31] a cluster-based protocol uses randomized rotation of local CHs to evenly distribute the energy load among sensors in the network. In [32] optimal CH selection is done using multi-objective particle swarm optimization. The above approaches do not consider security of the protocols or techniques that are used for cluster formation.…”

Section: Related Workmentioning

confidence: 99%

Energy-efficient cluster-based security mechanism for intra-WBAN and inter-WBAN communications for healthcare applications

Ali

Khan

2013

J Wireless Com Network

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Wireless body area networks (WBANs) are formed by using tiny health monitoring sensors on the human body in order to collect and communicate the human personal data. WBANs serve as a solution to facilitate the tasks performed in the medical sector, and minimize the chances of errors during the process of medical diagnosis. Due to the unreliable wireless media, the communication in a WBAN is exposed to a variety of attacks. These attacks pose major threats to WBAN security. In order to overcome these threats, several cryptographic techniques have been proposed in the recent past. Effectiveness of these cryptographic techniques largely depends on a good key management scheme. However, using an expensive key management scheme is not feasible in highly resource-constrained WBANs. Therefore, we propose and evaluate an energy-efficient key management scheme for WBANs that takes into account available resources of a node during the whole life cycle of key management. Our proposed scheme is a cluster-based hybrid security framework that supports both intra-WBAN and inter-WBAN communications. By using multiple clusters, energy-efficiency can be ensured. The cluster formation process itself is secured by using electrocardiogram (EKG)-based key agreement scheme. The proposed technique is hybrid because we use both preloading of keys and physiological value-based generated keys. We use highly dynamic and random EKG values of the human body for pairwise key generation and refreshment. The performance comparison of our proposed cluster-based key management scheme and low-energy adaptive clustering hierarchy (LEACH)-based key agreement scheme shows that the proposed scheme is secure, more energy-efficient, and provides better network lifetime.

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Energy-efficient clustering in mobile ad-hoc networks using multi-objective particle swarm optimization

Cited by 133 publications

References 7 publications

Multiobjective Optimization for a Wireless Ad Hoc Sensor Distribution on Shaped-Bounded Areas

Multiobjective Optimization for a Wireless Ad Hoc Sensor Distribution on Shaped-Bounded Areas

Performance Optimization of the Multi-Pumped Raman Optical Amplifier using MOICA

Energy-efficient cluster-based security mechanism for intra-WBAN and inter-WBAN communications for healthcare applications

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