Energy conserving multicast for MANET with swarm intelligence

Jaikaeo, Chaiporn; Sridhara, Vinay; Shen, Chien-Chung

doi:10.1109/mahss.2005.1542864

Cited by 7 publications

(10 citation statements)

References 10 publications

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“…In this way, a minimal Steiner tree emerges with the continuous and cooperative work of ants. Based on MANSI, the same authors propose ECMANSI [13,25] where the objective is to minimize, instead of number of hops, the sum of the transmission powers of the non-leaf nodes of the formed multicast tree.…”

Section: Aco-based Approachesmentioning

confidence: 99%

“…And the second, PALDA-D (Dynamic), where routes are established according to cluster-heads positions and they are reconstructed every time a new event happens in order to improve the quality of the final routing tree. Simulations are carried out to evaluate the performance of the proposed protocol with its two variations by comparing it to ECMANSI [13], an antbased minimum-power Steiner tree algorithm, and DST [9]. The results demonstrate that the proposal builds routing structures with lower total transmission power while maximizing aggregation rate.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power-Efficient Routing Based on Ant-Colony-Optimization and LMST for In-Network Data Aggregation in Event-Based Wireless Sensor Networks

BENAOUDA¹

2018

IJCDS

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Data routing for in-network data aggregation is an important task in event-based wireless sensor networks. Previous works tackling this routing problem are distributed heuristics to the minimal Steiner tree. They aim to find a multihop routing structures that maximize data aggregation with the minimum number of hops. However, the nodes participating in this routing task don't have to use their maximum transmission powers, but instead, they have the potential to minimize them to conserve more energy. In this article we go further and based on the local minimum spanning tree algorithm and Ant-Colony-Optimization metaheuristic, we propose a novel protocol that aims to define a routing structure which maximizes data aggregation and minimizes the total transmission powers while ensuring a symmetric transmission power assignment to reliably deliver data. The proposal was widely compared to two other known protocols. Simulation results show the superiority of our protocol compared to these protocols.

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Section: Aco-based Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power-Efficient Routing Based on Ant-Colony-Optimization and LMST for In-Network Data Aggregation in Event-Based Wireless Sensor Networks

BENAOUDA¹

2018

IJCDS

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“…The paper presents a distributed algorithm using forward and backward ants. An initial tree built using flooding is improved as each node searches for a path to the core that consumes less energy resulting in an energy efficient multicast structure [10,11]. Das et al apply ant colony to build energy efficient multicast trees using two types of ants -Type A and Type B.…”

Section: Introductionmentioning

confidence: 99%

Energy efficient QoS provisioning: A multi-colony ant algorithm approach

Prasad

Din²,

Lobiyal

2014

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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With the advancement of technology, there is a growing desire to provide support for real time multimedia services over wireless ad hoc networks. These applications demand strict Quality-of-Service (QoS) guarantees by the underlying network in terms of delay, delay variance and packet loss. However, limited battery life of the nodes in a wireless network poses significant challenges in finding QoS optimized multicast routes. The depletion of energy resources of the node may lead to a disjoint network that can severely affect the QoS requirement of the application. In this paper, we investigate the problem of building a multicast tree that aims energy conservation while meeting the QoS demands of the application. We formulate the issue as a multiobjective optimization problem and apply a multi-colony ant approach to find the Pareto front for the new problem. The experimental results are presented to demonstrate the effectiveness of the algorithm. The results are compared with Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II). Index Terms-Quality-of-Service (QoS), MultiobjectiveOptimization, Multi-Colony Ant Algorithm, NSGA-II.

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“…Each node does several tasks in addition to the normal operation. Here, each node performs as a logical repeater to route the data packets [6].…”

Section: Introductionmentioning

confidence: 99%

Design and development of a sensor model for coalmines

A.H

Varaprasad

2010

SIGBED Rev.

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Wireless sensor network has a large number of sensors, which is used to collect the data from the environments. The sensor devices have a limited energy, memory, transmission range, and computation power. In this paper, we present a model called design and development of a sensor model for coalmines. The proposed model automatically detects the harmful gases such as Methane and Carbon Dioxide using PLS41 and KGJ sensors. It sends the sensing data to the control room through support node over the network. The control room takes necessary steps to prevent the accidents by considering threshold values of gasses. The proposed model is an efficient method to reduce the control message packets over the network.

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Energy conserving multicast for MANET with swarm intelligence

Cited by 7 publications

References 10 publications

Power-Efficient Routing Based on Ant-Colony-Optimization and LMST for In-Network Data Aggregation in Event-Based Wireless Sensor Networks

Power-Efficient Routing Based on Ant-Colony-Optimization and LMST for In-Network Data Aggregation in Event-Based Wireless Sensor Networks

Energy efficient QoS provisioning: A multi-colony ant algorithm approach

Design and development of a sensor model for coalmines

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