ACO Based QoS Aware Routing for Wireless Sensor Networks with Heterogeneous Nodes

Kumar, Sanjay; Dave, Mayank; Dahiya, Surender

doi:10.1007/978-81-322-1817-3_18

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…The proposed ant colony improvement algorithms for wi-fi sensor networks. The ant colony optimization algorithm (ACO) [55][56][57][58] is widely used to improve the course in WSN. The standard set of Ant-Net rules for the cycle, which only take into account the main direction and reduce electricity consumption in large quantities, recommends this leads to a wide range of ants on the shortest route, and leads to very fast power consumption in the best path and death of the node.…”

Section: Comparision Of Optimization Routing Algorithms 51 Ant Colony Optimization (Aco) Algorithmmentioning

confidence: 99%

Survey on wireless sensor networks: energy efficient optimization routing algorithms

Sivasankarareddy¹,

Sundari²

2020

IJEECS

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Wireless Sensor Network is extensively utilized in numerous places, such as protection surveillance. In Wireless Sensor Network, sensing unit networks are particular arbitrarily in addition to likewise in-network relying upon the technique is used to extend the network. As sensing unit nodes make use of strength from batteries for noticing the facts in addition to forwarding data, it uses the capability for those answers. The sizable troubles in cordless networks include power optimization, protection, directing, and project type. In this paper, current procedures in escaping power utilization of Wireless Sensor Network in addition to distinctive protocols and also Methods are researched. Additionally, destiny research have a look at on strength efficiency in Wireless Sensor Network putting forward new terms as well as targets for in addition examination is mentioned. Depiction of optimizing strategies like particle swarm optimization set of rules as well as ant swarm optimization Formula is already possible for lowering the electricity loss and complements the life of sensor community but those strategies take in greater time. This paper gives surveying extraordinary different optimization techniques below the multi-objective facet that takes region in tradeoffs. Information extracting in sensing unit networks is the technique of obtaining software-enabled plans in addition to patterns with gratifying accuracy from a constant, speedy, in addition to probable non-ended flow of facts streams from sensor networks. Various boundaries in preceding optimization Algorithms and suggesting a great deal better treatment through applying Data extracting Strategies for Wireless Sensing unit Networks is carried out.

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Section: Comparision Of Optimization Routing Algorithms 51 Ant Colony Optimization (Aco) Algorithmmentioning

confidence: 99%

Survey on wireless sensor networks: energy efficient optimization routing algorithms

Sivasankarareddy¹,

Sundari²

2020

IJEECS

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“…In HRT based systems, if packets arrive after the predefined delay deadline, then this is considered as a system failure [15,16]. But due to lossy links and error-prone medium, it is almost SRT SAR [21], EAQOS [23], RAP [25], SPEED [28], RPAR [29], OEDSR [34], SDRCS [37], AGEM [38], EQSR [39] FRT [16] Multiconstrained MMSPEED [31], DARA [41], RLTD [42], LRGR [46], QMOR [44], MCRA [48] SI based AntNet [14], ASAR [53], ACOLBR [54], M-IAR [51], ACOWHSN [56], AntSensNet [57], HLEAR [60], AntHQNet [61], QoSPSO [63], ICACR [64], FROMS [65], SPEA [66], BeeSensor [69], Bee-Sensor-C [72], EQR-RL [74], FTIEE [77] Based on network structure Flat REAR [82], LEAR [83] Hierarchical PEMuR [85], EEQAR [88] Location based TPGF [59], GEAMS [94], GPSR [27], DGR [93], EA-TPGF [95], PWDGR [96] impossible to guarantee HRT in WMSNs. In SRT based systems, some packet missing the delay deadli...…”

Section: Latency Based Constrained Routingmentioning

confidence: 99%

“…HLEAR provides better throughput and energy efficiency than Tiny AODV [60], but it cannot handle congestion efficiently due to which its throughput is very low when frame rate is high. AntHQSeN [61] is a reactive ant-based QoS enabled routing protocol, which works in two phases: (1) route discovery phase and (2) route maintenance phase. The agents called forward ants are created by the source node to find multiple paths to the destination node.…”

Section: Si Based Routing Protocols Si Based Routing Protocolsmentioning

confidence: 99%

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Routing in Wireless Multimedia Sensor Networks: A Survey of Existing Protocols and Open Research Issues

Bhandary

Malik

Kumar

2016

Journal of Engineering

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With the advancement of wireless sensor networks (WSNs) and technology, applicability of WSNs as a system is touching new heights. The development of multimedia nodes has led to the creation of another intelligent distributed system, which can transfer real-time multimedia traffic, ubiquitously. Wireless multimedia sensor networks (WMSNs) are applicable in a wide range of areas including area monitoring and video surveillance. But due to unreliable error-prone communication medium and application specific quality of service (QoS) requirements, routing of real-time multimedia traffic in WMSNs poses a serious problem. The paper discusses various existing routing strategies in WMSNs, with their properties and limitations which lead to open research issues. Further, detailed classification and analytical comparison of discussed protocols are also presented.

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“…For example, QoS can indicate the capability to provide assurance that the performance requirements of a specific application can be met. QoS is measured to estimate the presentation of network performance [5], [6], like-bandwidth, delay, jitter, and packet losses, are establish to mainly control the QoS issues [7]. Compared with traditional WSNs, specific features in asynchronous duty-cycled WSNs (resource constraints in terms of power, processor, and memory; unreliable links increase the rate of packet drops, delays, and energy consumption; waiting latency of independent sleep scheduling) make the designers and developers resort to optimization approaches and techniques to provision QoS support.…”

Section: Introductionmentioning

confidence: 99%

QoS Aware Routing Protocol Through Cross-layer Approach in Asynchronous Duty-Cycled WSNs

Shi

et al. 2019

IEEE Access

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The growing usage of wireless sensor networks (WSNs) in different scenarios makes the Quality-of-Service (QoS) a paramount issue in WSN-based applications. We are especially interested in the QoS aware of asynchronous duty-cycled WSNs in the light of designing routing protocol, whereby waiting for latency and malicious packet dropping are critical to the network performance. We first propose an optimized detection mechanism for malicious packet dropping attack. Then, based on sleep latency and queue length, a method for congestion degree measurement is proposed under asynchronous duty-cycled low power listening (LPL) modes. Last but not least, we introduce related QoS aware metrics for the design of QoS aware routing protocol, which can enhance the QoS performance in throughput, delay, and packet losses (TDL). Experimental results demonstrate that the QoS performance of our TDL-based routing protocol is better than those of the CTP-Watchdog protocol and the CTP-Optimized protocol, especially in terms of higher-throughput, lower-delay, and less-loss rate. By optimized threshold, the detection accuracy of our detection mechanism is improved much more than that of the traditional watchdog technology. Furthermore, we evaluate that the preferred optimization factor can help to make a tradeoff between the false negative rate and the false positive rate. Our TDL-based routing protocol is implemented under the component-based architecture by a cross-layer approach, which provides a practicable solution for the design of QoS-aware routing protocol in asynchronous duty-cycled WSNs.

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ACO Based QoS Aware Routing for Wireless Sensor Networks with Heterogeneous Nodes

Cited by 9 publications

References 16 publications

Survey on wireless sensor networks: energy efficient optimization routing algorithms

Survey on wireless sensor networks: energy efficient optimization routing algorithms

Routing in Wireless Multimedia Sensor Networks: A Survey of Existing Protocols and Open Research Issues

QoS Aware Routing Protocol Through Cross-layer Approach in Asynchronous Duty-Cycled WSNs

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