EA-SPEED: energy-aware real-time routing protocol for wireless sensor networks

Aissani, Mohamed; Bouznad, Sofiane; Fareb, A.; Laidoui, M. A.

doi:10.1504/ijict.2013.052302

Cited by 8 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The transmission takes place in multicast fashion. [46]. The approach offers three types of real-time transmission services, specifically, real instance unicast, real instance area multicast and real instance area anycast.…”

Section: Pegasis: Power-efficient Gathering In Sensor Information Sys...mentioning

confidence: 99%

A Survey of Secured Cluster Head: SCH Based Routing Scheme for IOT Based Mobile Wireless Sensor Network

Kiruba

Benita

2022

ECS Trans.

View full text Add to dashboard Cite

This paper describe various energy resourceful routing schemes for secured IoT-mobile sensor network and skeleton for clustered IoT-mobile sensor networks. The primitive design of a battery arrayed mobile wireless IoT-sensor nodes is to increase the transmission energy. The proposed work has the advantage that the communication and computation overheads are low and give better performance in terms of network lifetime, energy consumption, and intrusion detection. This paper proposes a secured energy resourceful routing protocol for security awareness in IoT-mobile wireless sensor networks. The intrusion and normal interruption are much related and it is hard to determine. A routing protocol is designed for selecting the appropriate path for data forwarding between cluster head and base station.

show abstract

Section: Pegasis: Power-efficient Gathering In Sensor Information Sys...mentioning

confidence: 99%

A Survey of Secured Cluster Head: SCH Based Routing Scheme for IOT Based Mobile Wireless Sensor Network

Kiruba

Benita

2022

ECS Trans.

View full text Add to dashboard Cite

show abstract

“…i. Descending intrusion identification system (DIIS): CHs monitor lower order CHs and smart dust nodes activities by using watch dog mechanism and observing the activities performed by them are collected in an entry table [17].…”

Section: System Modelmentioning

confidence: 99%

“…Multi-order clustering illustrates two approaches of intrusion identification in MSWN.i. Descending intrusion identification system (DIIS): CHs monitor lower order CHs and smart dust nodes activities by using watch dog mechanism and observing the activities performed by them are collected in an entry table[17].ii. Ascending intrusion identification system (AIIS): A specific number of monitoring was done, irregular action in CH is reported to upper order CH by subordinates CH[18].Intrusions in the subordinate nodes and upper order CH identified by DIIS and AIIS.…”

mentioning

confidence: 99%

CSCRT Protocol with Energy Efficient Secured CH Clustering for Smart Dust Network Using Quantum Key Distribution

Rajesh¹,

Rajanna²

2022

IJSSE

View full text Add to dashboard Cite

Energy efficient protocols for Mobile wireless smart dust networks are getting prominence in the present scenario. This paper describes a novel scheme for intrusion detection framework for secured clustered mobile smart dust networks which better suits the periodical data gathering. The essential objective of a battery equipped mobile wireless smart dust nodes is to upgrade the transmission energy. The proposed protocol has the favourable position that the communication and computational overheads get reduced and gives improved energy efficient routing protocol as far as energy efficient and intrusion detection system. The intrusion and interruption are fundamentally same as that it is difficult to recognize. The design becomes more complex, any security protection algorithms utilize more energy. This can be achieved by using IDS based clustering tactic, Specific Encryption algorithm with Quantum Key Distribution and Chance Succession Comparison Ratio Test protocol. Particular encryption for data based communication is carried out to low utilization of energy and also to discover attacks, when it occurs in mobile nodes. Data transmission rate is a factor for energy utilization. Simulation is done in NS2, results show that better energy efficient routing scheme for mobile wireless smart dust network.

show abstract

“…In wireless sensor networks, several routing protocols [4][5][6][18][19][20][21][22][23] have been proposed for providing timeliness in real-time applications. The protocols based on spatiotemporal approaches improve the timeliness.…”

Section: Related Workmentioning

confidence: 99%

Expected Area-Based Real-Time Routing Protocol for Supporting Mobile Sinks in Wireless Sensor Networks

et al. 2022

View full text Add to dashboard Cite

To deliver real-time data within a desired time deadline, a spatiotemporal approach has been proposed in wireless sensor networks. In the approach, real-time data can be delivered with a delivery speed calculated by both the distance from a source to a static sink and the desired time deadline. In the case of a mobile sink, because the distance from a source to the sink would be dynamically changed due to its movement, real-time data cannot be delivered due to the inability to calculate a delivery speed. Thus, we propose a novel real-time routing protocol, called EAR2 (expected area-based real-time routing) for mobile sinks. Instead of the immediate distance, EAR2 considers the static distance to the expected area of a mobile sink’s location using its movement speed. To satisfy the desired time deadline, EAR2 guarantees that the total summation of the unicasting time to the expected area and the flooding time within the expected area can be smaller than the deadline. To do this, EAR2 calculates a data delivery speed by using the static distance and the unicasting time and exploits the flooding time observed from various network environments. Because EAR2 has a high flooding time and data loss problems due to a single flooding point, we propose a protocol called EAR2M with multiple flooding points, which reduces the flooding time and enhances the reliability of data transmission. We also propose two extensions of EAR2M, called EAR2M_R and EAR2M_E for efficient data transmission from a source to multiple flooding points. They aim to reduce the transmission delay and the energy consumption for efficient data transmission among multiple flooding points, respectively. Simulation results show that EAR2 improves the deadline miss ratio and the energy consumption, with averages improvements of 47.17% and 29.99% over the existing schemes, respectively. Furthermore, EAR2M with four flooding points enhances the deadline miss ratio and the energy consumption by an average of 12.69% and 131.86% over EAR2.

show abstract

EA-SPEED: energy-aware real-time routing protocol for wireless sensor networks

Cited by 8 publications

References 15 publications

A Survey of Secured Cluster Head: SCH Based Routing Scheme for IOT Based Mobile Wireless Sensor Network

A Survey of Secured Cluster Head: SCH Based Routing Scheme for IOT Based Mobile Wireless Sensor Network

CSCRT Protocol with Energy Efficient Secured CH Clustering for Smart Dust Network Using Quantum Key Distribution

Expected Area-Based Real-Time Routing Protocol for Supporting Mobile Sinks in Wireless Sensor Networks

Contact Info

Product

Resources

About