Towards empirical study based mathematical modeling for energy consumption and end-to-end delay of MANETs

2014 ◽  
Author(s):  
Novia Nurain ◽  
Moin Mostakim ◽  
A. B. M. Alim Al Islam
Keyword(s):  
Mathematical Modeling ◽  
Energy Consumption ◽  
Empirical Study ◽  
End To End Delay ◽  
End To End

scholarly journals Fireflies Ant Optimized Reliable Quality Awareness Energy Efficient Routing Protocol for Managing Quality of Medical Data in Wireless Body Networks

2019 ◽  
Vol 9 (1) ◽  
pp. 5007-5012
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Medical Data ◽  
Energy Efficient Routing ◽  
Packet Delivery ◽  
End To End Delay ◽  
End To End ◽  
Quality Awareness

The wireless body area network is one of effective wearable devices that have been used in medical applications for collecting patient information to providing the treatment incorrect time for avoiding seriousness. The collected data’s such as blood pressure, air flow, temperature, electromagnetic information is transmitted to the health care center via the wireless technology, which reduces the difficulties also helps to provide the immediate treatment. During the information transmission, the main issues are Quality of Service (QoS), low packet delivery, high energy consumption and end to end delay. So, in this paper introduces the Fireflies Ant Optimized, Reliable Quality Awareness, Energy Efficient Routing Protocol ((FAORQEER) for maintaining the quality of the recorded medical data. The network examines the optimal path by using the characteristics of fireflies and the network life time and energy of the network is managed by introducing an energy efficient method. The process then evaluates efficiency with test results about energy consumption, packet delivery ratio, end to end delay and QoS metric associated constraints.

scholarly journals An Energy Efficient Data Gathering in Dense Mobile Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
R. Velmani ◽  
B. Kaarthick
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Collection ◽  
Cluster Formation ◽  
Cluster Head ◽  
Data Gathering ◽  
Wireless Sensor ◽  
End To End Delay ◽  
End To End

Amidst of the growing impact of wireless sensor networks (WSNs) on real world applications, numerous schemes have been proposed for collecting data on multipath routing, tree, clustering, and cluster tree. Effectiveness of WSNs only depends on the data collection schemes. Existing methods cannot provide a guaranteed reliable network about mobility, traffic, and end-to-end connection, respectively. To mitigate such kind of problems, a simple and effective scheme is proposed, which is named as cluster independent data collection tree (CIDT). After the cluster head election and cluster formation, CIDT constructs a data collection tree (DCT) based on the cluster head location. In DCT, data collection node (DCN) does not participate in sensing, which is simply collecting the data packet from the cluster head and delivering it into sink. CIDT minimizes the energy exploitation, end-to-end delay and traffic of cluster head due to transfer of data with DCT. CIDT provides less complexity involved in creating a tree structure, which maintains the energy consumption of cluster head that helps to reduce the frequent cluster formation and maintain a cluster for considerable amount of time. The simulation results show that CIDT provides better QoS in terms of energy consumption, throughput, end-to-end delay, and network lifetime for mobility-based WSNs.

scholarly journals Void Hole Avoidance for Reliable Data Delivery in IoT Enabled Underwater Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3271 ◽  
Author(s):  
Arshad Sher ◽  
Aasma Khan ◽  
Nadeem Javaid ◽  
Syed Ahmed ◽  
Mohammed Aalsalem ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Destination Node ◽  
Transmission Range ◽  
Delivery Ratio ◽  
Underwater Wireless Sensor Networks ◽  
End To End Delay ◽  
End To End

Due to the limited availability of battery power of the acoustic node, an efficient utilization is desired. Additionally, the aquatic environment is harsh; therefore, the battery cannot be replaced, which leaves the network prone to sudden failures. Thus, an efficient node battery dissipation is required to prolong the network lifespan and optimize the available resources. In this paper, we propose four schemes: Adaptive transmission range in WDFAD-Depth-Based Routing (DBR) (A-DBR), Cluster-based WDFAD-DBR (C-DBR), Backward transmission-based WDFAD-DBR (B-DBR) and Collision Avoidance-based WDFAD-DBR (CA-DBR) for Internet of Things-enabled Underwater Wireless Sensor Networks (IoT, UWSNs). A-DBR adaptively adjusts its transmission range to avoid the void node for forwarding data packets at the sink, while C-DBR minimizes end-to-end delay along with energy consumption by making small clusters of nodes gather data. In continuous transmission range adjustment, energy consumption increases exponentially; thus, in B-DBR, a fall back recovery mechanism is used to find an alternative route to deliver the data packet at the destination node with minimal energy dissipation; whereas, CA-DBR uses a fall back mechanism along with the selection of the potential node that has the minimum number of neighbors to minimize collision on the acoustic channel. Simulation results show that our schemes outperform the baseline solution in terms of average packet delivery ratio, energy tax, end-to-end delay and accumulated propagation distance.

scholarly journals Energy-efficient selection of cluster headers in wireless sensor networks

2018 ◽  
Vol 14 (3) ◽  
pp. 155014771876464 ◽  
Author(s):  
Adem Fanos Jemal ◽  
Redwan Hassen Hussen ◽  
Do-Yun Kim ◽  
Zhetao Li ◽  
Tingrui Pei ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Packet Loss ◽  
Energy Efficient ◽  
Low Energy ◽  
Wireless Sensor ◽  
Adaptive Clustering ◽  
End To End Delay ◽  
End To End

Clustering is vital for lengthening the lives of resource-constrained wireless sensor nodes. In this work, we propose a cluster-based energy-efficient router placement scheme for wireless sensor networks, where the K-means algorithm is used to select the initial cluster headers and then a cluster header with sufficient battery energy is selected within each cluster. The performance of the proposed scheme was evaluated in terms of the energy consumption, end-to-end delay, and packet loss. Our simulation results using the OPNET simulator revealed that the energy consumption of our proposed scheme was better than that of the low-energy adaptive clustering hierarchy, which is known to be an energy-efficient clustering mechanism. Furthermore, our scheme outperformed low-energy adaptive clustering hierarchy in terms of the end-to-end delay, throughput, and packet loss rate.

MQTT based QoS Model for IoT - M2M Critical Applications

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
Information Technology ◽  
Energy Consumption ◽  
Real Time ◽  
Packet Loss ◽  
Critical Systems ◽  
Iot Applications ◽  
M2m Communications ◽  
End To End Delay ◽  
End To End ◽  
Prioritization Scheme

The expeditious development of information technology provides opportunities for new remote and monitoring critical systems to be performed based on IoT technologies and M2M communications. This paper discusses important QoS issues in IoT systems and suggests a new QoS model for critical IoT applications, where each information must be delivered only once and in real-time. The proposal is based on the MQTT protocol with dynamic QoS handling, accordingly to the information importance. A prioritization scheme is adopted using different traffic classes, considering specific requirements for real-time communications and reliable operations while reducing end-to-end delay, packet loss, bandwidth, and energy consumption.

scholarly journals SDN-Based Resource Reservation Protocol for IoT applications in Constrained Networks

2019 ◽  
Vol 8 (10) ◽  
pp. 1615-1622
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Resource Reservation ◽  
Wireless Sensor ◽  
Control Logic ◽  
End To End Delay ◽  
Reservation Protocol ◽  
Resource Reservation Protocol ◽  
End To End

Constrained netwrks like Wireless Sensor Networks have been identified as a promising scheme for next-generation wireless networks. These networks are capable of capturing data from the physical world without human intervention possessing applications such as IoT in various fields of life that require reliable and précised end to end delivery. However, Wireless Sensor Networks inevitably suffers from severe resource constraints and hence promising the provision of desired QoS is a challenge. In most of the applications like military, medical surveillance. Data captured are critical and hence the transmission of such data entails a minimal end to end delay. In constrained networks achieving minimal delay with effective utilization of resources are important cost factors for achieving an end to end delivery. In this Paper, a Softwaredefined Networking (SDN), based resource reservation protocol, which leverages SDN to centrally process the whole control logic and accordingly decides the amount of resources to be allocated for each data flow alleviating the processing overhead of all other nodes thus minimizing the energy consumption is proposed. The proposed algorithm is evaluated through simulation and the results obtained proved the efficiency of the proposed protocol by effectively minimizing the system’s energy consumption and end to end delay.

scholarly journals Geographic Routing in WSN for Measuring Coverage Constraints and Energy Consumption in Cloud Environments

2020 ◽  
Vol 9 (3) ◽  
pp. 3069-3072
Keyword(s):  
Energy Consumption ◽  
Fundamental Problem ◽  
Life Time ◽  
Geographic Routing ◽  
Code Word ◽  
Transmission Factor ◽  
End To End Delay ◽  
Network Delays ◽  
Energy Constraints ◽  
End To End

This paper investigates the problem of energy efficient and consumption process in wireless sensor networks. The fundamental problem in WSN has handled the energy constraints and avoiding end-to-end delay networks. We introduce encoding technique for handling transmission data, network delays, content aware service and energy expenditure problems. The end-to-end delay varies depending up on nodes and sensor life time. We apply hamming encoding technique for estimating energy constraints with life time of buffer capacity factor. This paper proposes the novel based approach to handle group communication, senor node status, network transmission and optimal encoded behaviors. Each cluster group values are sensed by node reference time and calculate hamming code weight for each node counts. The quality of services can be achieved by energy saving measurements and data loss can be varies up on incoming packet request. We compare the encoded result with code word situation and hazard environment. We reduce the amount of data transmission factor and life time of sensor values and longer network delays. We show the simulating results with encoding scheme and reduced energy consumption. The performance can be monitored by coverage constraints and optimal transmission behaviors.

scholarly journals Energy Efficient and Position Aware Routing for Auv Aided Underwater Acoustic Sensor Network

2019 ◽  
Vol 8 (12) ◽  
pp. 169-175
Keyword(s):  
Energy Consumption ◽  
Sensor Network ◽  
Ocean Current ◽  
Acoustic Sensor ◽  
Underwater Acoustic ◽  
Water Transportation ◽  
End To End Delay ◽  
Underwater Pipeline ◽  
Underwater Acoustic Sensor Network ◽  
End To End

Underwater pipeline provides an economic means of oil, gas and water transportation. The underwater pipeline incurs damage due to corrosion, water pressure and mudslides. The oil and gas from impaired pipeline leak in to aquatic environment, affects aquatic eco system and loss of resources. Hence, submarine pipeline require constant monitoring. The submarine pipelines monitor by underwater acoustic sensor network (UASN). The UASN implementation has limitations in terms of bandwidth, ocean current influence on buoys node, end-to-end delay and depth. Hence, mobile Autonomous under water vehicle (AUV) deploy to route data from fixed sensor node to mobile buoys node with minimal energy consumption. The end-to-end delay of UASN depends on routing protocol and node movement due to ocean current. In this paper, we propose CAT Swarm Optimization algorithm (COA) routing in AUV to seek and track mobile buoys node and minimize end-to-end delay, energy consumption between nodes in UASN. The COA performance analyze in NS2-Aquasim environment and the same implement in 1.5x1.5 meter test bed with water for performance analysis. The COA performed better in terms of end-to-end delay and energy consumption compared to conventional routing protocols.

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