Biologically Inspired (Botany) Mobile Agent Based Self-Healing Wireless Sensor Network (original) (raw)

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

Application of Self-Healing in Wireless Sensor Network

Advances in environmental engineering and green technologies book series, 2016

Wireless Sensor Networks (WSNs) are gaining popularity in many monitoring and event detection areas. But the limitation of low power sensors needs to be further researched to combat the self-healing aspect of sensor networks. Therefore this paper aims to present a survey on application of self-healing routing protocols in wireless sensor networks that have been designed by analyzing their operation, advantages and disadvantages. This presents an outline of each application of the protocol and an idea of how these features could be adapted into future research area in self-healing wireless sensor networks in terms of energy aspect. The self-healing characteristics are mainly derived from biologically-inspired mechanisms for autonomic behavior. Autonomic behavior systems are characterized into four functional systems as self-configuration, self-healing, self-optimization and self-protection. This survey mainly focuses on self-healing characteristics from the biologically-inspired perspectives as well as non-bioinspired perspectives.

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

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 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.

Intelligent Energy Efficient Routing Protocol based on Biological Agents for MANETS

Mobile Ad Hoc Networks (MANETs) are a developing type of wireless networks, in which nodes which are mobile in nature, associate on an automatic or ad hoc basis. Mobile Ad Hoc Networks are self-healing and selfforming networks that enable peer-level communications between mobile nodes without fixed infrastructure or reliance on centralized resources. MANETs deliver significant benefits in virtually any scenario including a cadre of highly mobile platforms or users, an environment in which fixed network infrastructure is impaired, impractical or impossible, and a strong requirement to share IP-based information. One of the most important issues in Mobile Ad-hoc Networks is Energy Efficiency, since the energy supplies are stored in batteries. It is important to maximize the minimum energy required by the node for data transmission to increase the network endurance. In this paper, we use an algorithm that is based on Nature inspired Ant Colony Optimization structure, for improving the energy efficiency in mobile adhoc networks and thus increasing the lifetime of the overall communication system.

T-ANT: A Nature-Inspired Data Gathering Protocol for Wireless Sensor Networks

Journal of Communications, 2006

There are many difficult challenges ahead in the design of an energy-efficient communication stack for wireless sensor networks. Due to the severe sensor node constraints, protocols have to be simple yet scalable. To this end, collective social insects' behavior could be adopted to guide the design of these protocols. We exploit the simple heuristics of ant colony in foraging and brood sorting to design a hierarchical and scalable data gathering protocol. Also, we demonstrate how it could exploit data correlations in sensor readings to minimize communications cost in the data gathering process towards the sink. This approach selects only a subset of sensor nodes to reconstruct data for the entire network. A distributed variance estimation algorithm is introduced to capture data correlations with negligible state maintenance. It is shown that this algorithm is able to predict the values rather accurately. Due to the general robustness of any nature-inspired algorithm, our data gathering protocol is reliable. It is fully distributed, and promises scalability and substantial energy savings.

Biomimetic middleware for wireless sensor networks

2008

An agent based, Biomimetic (biology inspired) Middleware for resource constrained systems such as Wireless Sensor Networks (WSNs) by emulating nature is able to provide infrastructure oriented services that are characterised by such autonomic and autopoietic properties such as: (1) self-organisation, (2) self– shaping, (3) self-monitoring and self-healing. The paper aims at explaining how these fundamental properties if imprinted on executing agents can help in construction of reliable, cooperative and sustainable information ecosystems such as biomimetic middleware. This can occur through application of genetic evolution and immuno-computing paradigms (i.e. selection inhibition, random enabling/inhibiting, preferential attachment, birth, growth and death) .