Bio-Inspired Mechanisms in Wireless Sensor Networks (original) (raw)
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A biologically-inspired approach to designing wireless sensor networks
European Workshop on Wireless Sensor Networks, 2005
In this paper, we contend that there are significant advantages in treating some classes of sensor networks as biological-like systems-both in structural design characteristics and in operational processes. We show how this design process leads to a sensor network system that is robust to topological changes, is scaleable and self-organising-and has a number of other desirable features. The operating system
International Journal of Distributed Sensor Networks, 2013
is survey article is a comprehensive discussion on Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing. e marvelous perfection of biological systems and its different aspects for optimized solutions for non-biological problems is presented here in detail. In the current research inclination, hiring of biological solutions to solve and optimize different aspects of arti�cial systems' problems has been shaped into an important �eld with the name of bio-inspired computing. We have tabulated the exploitation of key constituents of biological system for developing bio-inspired systems to represent its importance and emergence in problem solving trends. We have presented how the metaphoric relationship is developed between the two biological and non-biological systems by quoting an example of relationship between prevailing wireless system and the natural system. Interdisciplinary research is playing a splendid contribution for various problems' solving. e process of combining the individuals' output to form a single problem solving solution is depicted in three-stage ensemble design. Also the hybrid solutions from computational intelligence-based optimization are elongated to demonstrate the emergent involvement of these inspired systems with rich references for the interested readers. It is concluded that these perfect creations have remedies for most of the problems in non-biological system.
Systems and Algorithms for Wireless Sensor Networks Based on Animal and Natural Behavior
International Journal of Distributed Sensor Networks, 2015
In last decade, there have been many research works about wireless sensor networks (WSNs) focused on improving the network performance as well as increasing the energy efficiency and communications effectiveness. Many of these new mechanisms have been implemented using the behaviors of certain animals, such as ants, bees, or schools of fish. These systems are called bioinspired systems and are used to improve aspects such as handling large-scale networks, provide dynamic nature, and avoid resource constraints, heterogeneity, unattended operation, or robustness, among many others. Therefore, this paper aims to study bioinspired mechanisms in the field of WSN, providing the concepts of these behavior patterns in which these new approaches are based. The paper will explain existing bioinspired systems in WSNs and analyze their impact on WSNs and their evolution. In addition, we will conduct a comprehensive review of recently proposed bioinspired systems, protocols, and mechanisms. Finally, this paper will try to analyze the applications of each bioinspired mechanism as a function of the imitated animal and the deployed application. Although this research area is considered an area with highly theoretical content, we intend to show the great impact that it is generating from the practical perspective.
Nature Inspired Computing for Wireless Networks Applications
International Journal of Applied Evolutionary Computation, 2019
Nature inspired computing (NIC) is a computing paradigm inspired by the attractive behavior of nature. NIC has influenced the researchers to perform optimization in many approaches using physics/chemistry-based algorithms and biology-based algorithms. Physics/chemistry-based algorithms include the water cycle, a galaxy base, or gravitational-based algorithms. Biology-based algorithms, namely bio-inspired and swarm intelligence-related algorithms are discussed with their importance in the field of wireless networks. A wireless network such as MANET's, VANET, AdHoc, and IoT are playing a vital role in all sectors. Some of the issues such as finding the optimal path in routing, clustering, dynamic allocation of motes, energy and lifetime of the network pertaining to a wireless network can be solved using an NIC approach. Algorithms derived by the inspiration from nature are discussed briefly in this article.
Biologically Inspired (Botany) Mobile Agent Based Self-Healing Wireless Sensor Network
2010
Sensor networks are gaining popularity in pervasive environment for tracking events such as habitat monitoring, weather monitoring, hazard detection etc. These sensor nodes are very much power constrained and therefore requires energy efficient protocol to well manage their energy resources. An architecture based on biologically-inspired (botany) mobile agent based sensor (BIMAS) is proposed to tackle the energy issues of sensor networks. BIMAS handles the energy issues by exploiting mobile agents that communicates with static sensor nodes and forwards sensed data to a base station. The introduction of mobile agents brings benefit in terms of shifting routing issues away from sensor nodes to mobile agents. The advantage of BIMAS can be shown in terms of efficient energy resources, fault tolerance and efficient handling of hole problems.
A biologically inspired networking model for wireless sensor networks
IEEE Network, 2000
Wireless sensor networks (WSNs) have emerged in strategic applications such as target detection, localization, and tracking in battlefields, where the large-scale nature renders centralized control prohibitive. In addition, the finite batteries in sensor nodes demand energy-aware network control. In this thesis, we propose an energy
A bio-inspired framework for wireless sensor network using mobile sensors
Energy-constrained sensors deplete their energy quickly due to routing sensor data to the base station and also sensing the event. Energy depletion at these nodes causes routing hole and reduces network lifetime. This paper introduces the method of exploiting mobile nodes in the sensor network to increase network lifetime and node lifetime. This mobile nodes, known as mobile agents act as routing agents to increase network lifetime as well as move in position searching for energy, recharge and deliver the harvested energy to static energy depleted nodes. The mobile agent proposed in this paper travels between the static sensor nodes and base station in order to collect sensed data from the sensor nodes and relay it to the base station. Moreover the mobile agent also performs energy harvesting to increase node lifetime. The proposed architecture is inspired by plant biology (botany) based mechanism of the symbiosis interaction between plant root system and microbes in the rhizosphere (soil) Type =000 Node identification GPS location of sensor Remaining energy Type =001 Node identification GPS location of sensor Remaining energy Type=010 Node identification GPS location of sensor-set to nil Remaining energyset to nil
Bio-Inspired Routing in Wireless Sensor Networks
In order to increase network life time scalable, efficient and adaptive routing protocols are need of current time. Many energy efficient protocols have been proposed, the Clustering algorithm is also a basic technique used for energy efficiency. In this paper we propose an energy efficient routing protocol that is based on Artificial Bee Colony (ABC) algorithm of Bio Inspired. The presented protocol efficiently utilized characteristics of ABC algorithm such as foraging principle and waggle dance of honey bees. Waggle dance technique is used to find Routing Node (RN) that has maximum energy. Simulation results proves increase network life time and high throughput with minimum delay.
A Survey on Bio-inspired Routing Algorithms in Wireless Sensor Network
2021
Wireless networks with their attractive features are finding popularity in many applications such as remote surveillance, military, civil, environment monitoring, etc. The wireless networks are usually deployed in hostile environments. It is difficult to change the batteries in such conditions so there is a need to conserve energy. In this work, a review of different types of bio-inspired algorithms is presented along with the detailed study of the artificial fish swarm optimization (AFSO) algorithm and its applications are discussed. The algorithm has four functions that are derived from the fish behaviors in fish swarms. This algorithm involves many characteristics such as high convergence speed, fault tolerance which help in solving the optimization problems. It is observed that the combination of AFSO with other clustering algorithms and different routing protocols provides greater accuracy in node formation and routing of the wireless networks. Furthermore, the comparative analysis is made by considering the AFSO protocols in different works with advantages and disadvantages.
A bioinspired approach for data dissemination in wireless sensor networks
2006
Abstract. Recently, biologically-inspired algorithms have been presented as an alternative for designing many aspects of wireless ad-hoc and sensor networks. In this paper, we propose the adaptation of a bioinspired algorithm called the" infection algorithm" for the energy-efficient dissemination of data from a sensor field to the sink node.