T QoS Based on Ant Colony Routing for Wireless Sensor Networks

2007

In this paper, we present a novel routing scheme for sensor networks. The essential idea behind the algorithm is imitating the real acts of ants for finding new food resources and bringing them to their nests or searching for a new or better place for their nests. In colonies of ants, there is a large number of individuals working together to achieve a single goal. Whatever the goal is, they work together in an organized manner, but in fact, there is no dedicated colony manager telling them what to do and how to act. Each ant follows some simple rules and is aware of the environment as well as being capable of communicating in a simple indirect method. However, in a broader perspective, they establish a complex living organism through the simple acts. We believe that such a behavior can be applied to the sensor networks as a self organizing and efficient routing algorithm. The overall approach of the novel algorithm, i.e. ANCOR, is explained in this paper. The features of ANCOR that...

Soft Computing, 2016

Most of the existing routing protocols for wireless sensor networks consider homogeneous nodes wherein all sensor nodes have the same sensing, communication and computation capabilities. However, recent advances in multimedia technology have led to the availability of a wide range of sensors with widely varying capabilities. The introduction of multimedia sensors has presented additional challenges such as requirement of application-specific quality of service (QoS), high bandwidth and low delay. This paper presents an enhanced ant-based QoS-aware routing protocol for heterogeneous wireless sensor networks (EAQHSeN). It is a Communicated by A. Di Nola.

International Journal of Distributed Sensor Networks, 2013

Optimal path selection in wireless sensor networks (WSNs) is one of the challenging tasks. Several efficient routing protocols are proposed for specific scenarios to achieve particular objectives in WSN. However, such networks have many limitations such as low data rates and security threats. In this paper, we propose an adaptive secure routing protocol which is based on bioinspired mechanism. It uses distributed ant-based methodology to select two optimal paths keeping in view route security. Simulation results show that our routing protocol can perform better in many scenarios.

2012

High efficient routing is an important issue in the design of limited energy resource Wireless Sensor Networks (WSNs). Due to the characteristic of the environment at which the sensor node is to operate, coupled with severe resources; on-board energy, transmission power, processing capability, and storage limitations, prompt for careful resource management and new routing protocol so as to counteract the differences and challenges. To this end, we present an Improved Energy-Efficient Ant-Based Routing (IEEABR) Algorithm in wireless sensor networks. Compared to the state-of-the-art Ant-Based routing protocols; Basic Ant-Based Routing (BABR) Algorithm, Sensor-driven and Cost-aware ant routing (SC), Flooded Forward ant routing (FF), Flooded Piggybacked ant routing (FP), and Energy-Efficient Ant-Based Routing (EEABR), the proposed IEEABR approach has advantages in terms of reduced energy usage which can effectively balance the WSN node's power consumption, and high energy efficiency. The performance evaluations for the algorithms on a real application are conducted in a well known WSN MATLAB-based simulator (RMASE) using both static and dynamic scenario.

2009

The field of wireless sensor networks (WSNs) is an important and challenging research area today. Advancements in sensor networks enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop routing in WSN is affected by new nodes constantly entering/leaving the system. Therefore, biologically inspired algorithms are reviewed and enhanced to tackle problems arise in WSN. Ant routing has shown an excellent performance for sensor networks. Certain parameters like energy level, link quality, lose rate are considered while making decisions. These decisions will come up with the optimal route. In this paper, the design and result of ant based autonomous routing algorithm for the sensor networks is presented. The proposed bio-inspired self-organized algorithm will also meet the enhanced sensor network requirements, including energy consumption, success rate and time.

trg.fke.utm.my

Telecommunication systems are becoming increasingly complex. This is due to the size and heterogeneity of such systems, as well as to the complex interaction among network elements. In telecommunication system, wireless networks have witnessed tremendous ...

Multimedia applications have become an essential part of our daily lives, and their use is flourishing day by day. The area of wireless sensor network is not an exception where the multimedia sensors are attracting the attention of the researchers increasingly, and has shifted the focus from traditional scalar sensors to sensors equipped with multimedia devices. The multimedia sensors have the ability to capture video, image, audio as well as scalar sensor data and deliver the multimedia content through sensors network. Due to the resource constraints nature of WSN introducing multimedia will add more challenges, so the protocols designed for multimedia wireless sensor network should be aware of the resource constraints nature of WSN and multimedia transmission requirement. Ant colony optimization is a swarm intelligent algorithm that proved the efficiency to solve many complex optimization problems. Recently many routing protocols proposed based on ant colony optimization for WMSN to take advantages of ACO algorithm. In this paper we outline design challenges and requirements for designing routing protocols for WMSN, and then we review ACO routing protocols proposed for WMSN and discuss their feature and limitations. After that we will present a general comparison between them.

International Journal of Intelligent Engineering and Systems, 2016

Routing process in Wireless Multimedia Sensor Networks (WMSNs) has its own challenges to pass multimedia applications from source nodes to a sink. The WMSNs have specific characteristics consisting of multihop network, restricted bandwidth, and limited power resources in the WMSNs. Additionally, multimedia applications require specific Quality of Service (QoS). This paper proposes a routing optimization based on the Ant Colony Optimization (ACO) for multimedia transmission in the WMSNs. The routing optimization can deliver multimedia data within an average throughput of 164.65 kbps and provide better QoS than DSDV and AODV routing protocols.

2012

Wireless Sensor Networks (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, and to cooperatively pass their data through the network. Network Management of such a sensor network is a very big challenge. Also the fast changing nature and the adhoc necessity of the network prevents the choice of a Centralized Solution which can decide the best route to route packets and at the same time minimize the different parameters like congestion, load, etc. Also no single node can take up the job of centralized manager due to the limited energy and processing capabilities of mobile nodes. Hence this has resulted in the need for a distributed approach which involves limited processing and power from the individual nodes but which work towards a concerted goal of routing and network management. This paper proposes a routing algorithm based on ant colonies. A local routin...

TJPRC, 2013

Wireless Sensor Networks consisting of nodes with limited power are deployed to gather useful information from the field. In WSNs it is critical to collect the information in an energy efficient manner. Ant Colony Optimization, a swarm intelligence based optimization technique, is widely used in network routing. A novel routing approach using an Ant Colony Optimization algorithm is proposed for Wireless Sensor Networks consisting of stable nodes. Illustrative examples, detailed descriptions and comparative performance test results of the proposed approach are included. The approach is also implemented to a small sized hardware component as a router chip. Simulation results show that proposed algorithm provides promising solutions allowing node designers to efficiently operate routing tasks.