BeeSensor: An energy-efficient and scalable routing protocol for wireless sensor networks

Saleem, Muhammad; Ullah, Israr; Farooq, Muddassar

doi:10.1016/j.ins.2012.02.024

Cited by 88 publications

(56 citation statements)

References 27 publications

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“…The design objective is to effectively reduce the protocol overhead for data gathering in wireless sensor networks with mobile sinks. Leu et al [7] proposed a new energy-efficient distributed clustering algorithm by taking the ratio of average residual energy of the neighbouring nodes to the residual energy of the node itself as the main parameter to compete for the cluster head and the "degree" of node as the aided parameter for the cluster head competition to achieve the balanced load and prolong the network life cycle. Ganesh and Amutha [8] modified the adhoc on demand distance vector routing by incorporating signal-tonoise ratio (SNR) based dynamic clustering.…”

Section: Related Workmentioning

confidence: 99%

Topology Tree Construction and Congestion Avoidance Scheme for Diversified WSN Environment

2017

IJMTER

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Abstract-Disaster information gathering systems are constructed with diverse sensor devices. The flooding situations of the rivers/canals are monitored with the general purpose sensor devices. Congestion and unbalanced energy consumption problems are raised in the WSN due to the many to one communication requirements. Congestion Control and Energy-balanced scheme based on the hierarchy (CcEbH) is applied to manage traffic conditions. The hierarchical topology is build with three types of neighbor nodes. The same hierarchy nodes, upstream nodes and downstream nodes are assigned in the topology construction process. The congestion is detected with the queue length information of the downstream nodes. The congestion avoidance scheme reroutes the data forwarding process to other downstream nodes with energy details. The diversified sensor data collection system is build with topology tree construction and congestion avoidance scheme. Single and multiple sink based data forwarding mechanism is applied in the disaster management process. Integrated index model is used to manage the congestion and energy levels. Data aggregation and event detection tasks are combined in the system.

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Section: Related Workmentioning

confidence: 99%

Topology Tree Construction and Congestion Avoidance Scheme for Diversified WSN Environment

2017

IJMTER

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“…This online and decentralized approach uses local knowledge. Some other examples of works using swarm intelligence in an online fashion using local knowledge are BeeSensor [61] and BeeAdHoc [62] or NISR [63] that combines both bees and ants inspiration.…”

Section: Online and Offline Techniquesmentioning

confidence: 99%

“…All the online techniques we mentioned before dealing with bees and ants [60][61][62][63] use global knowledge. It would be contradictory to design an algorithm that is very lightweight and runs online but requires global knowledge.…”

Section: Global or Local Knowledgementioning

confidence: 99%

A Survey on the Application of Evolutionary Algorithms for Mobile Multihop Ad Hoc Network Optimization Problems

Reina

Ruiz

Ciobanu

et al. 2016

International Journal of Distributed Sensor Networks

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Evolutionary algorithms are metaheuristic algorithms that provide quasioptimal solutions in a reasonable time. They have been applied to many optimization problems in a high number of scientific areas. In this survey paper, we focus on the application of evolutionary algorithms to solve optimization problems related to a type of complex network like mobile multihop ad hoc networks. Since its origin, mobile multihop ad hoc network has evolved causing new types of multihop networks to appear such as vehicular ad hoc networks and delay tolerant networks, leading to the solution of new issues and optimization problems. In this survey, we review the main work presented for each type of mobile multihop ad hoc network and we also present some innovative ideas and open challenges to guide further research in this topic.

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“…Thus, the routing should be done by using a load-balancing scheme to take adaptive decisions for balancing the load for each route with respect to the external environment. Furthermore, the routing protocols must be performance-efficient and scalable [8]. In wireless multimedia sensor networks, it is important to deploy the powerful load-balancing routing approaches to support applications such as security monitoring, battlefield intelligence, environmental tracking and emergency response [9].…”

Section: Introductionmentioning

confidence: 99%

Optimized Node Selection Process for quality of service provisioning over wireless multimedia sensor networks

Alanazi

Elleithy

2016

2016 Second International Conference on Mobile and Secure Services (MobiSecServ)

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Abstract-Several quality of service (QoS) routing strategies focus on the improvement of throughput and end-to-end delays in wireless sensor networks (WSNs). With emergence of wireless multimedia sensor networks (WMSNs), data traffic can be poised into reliability-demanding data packets and time-sensitive data packets. In such situations, node optimization and load balancing can improve QoS provisioning. Thus, the trade-off between network lifetime and ensuring the QoS provisioning has been of paramount importance. This paper introduces the Optimized Node Selection Process (ONSP) approach for robust multipath QoS routing for WMSNs. This approach is based on determining the optimized node that helps resilient route discovery for improving the QoS parameters. The selection of optimized nodes make the solid chain for route selection using residual energy and received signal strength indicator (RSSI). The second goal of this approach is to prolong the network lifetime by introducing the load-balancing algorithm, which determines the optimized and braided paths. These paths avoid bottlenecks and improves throughput, end-to-end delay, on-time packet delivery and prolongs the network lifetime.

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BeeSensor: An energy-efficient and scalable routing protocol for wireless sensor networks

Cited by 88 publications

References 27 publications

Topology Tree Construction and Congestion Avoidance Scheme for Diversified WSN Environment

Topology Tree Construction and Congestion Avoidance Scheme for Diversified WSN Environment

A Survey on the Application of Evolutionary Algorithms for Mobile Multihop Ad Hoc Network Optimization Problems

Optimized Node Selection Process for quality of service provisioning over wireless multimedia sensor networks

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