scholarly journals Survey on Energy Efficient Routing Issues in IOMT

Author(s):  
Varun C R ◽  
Satish Hakkalli ◽  
Pavankumar Naik

IOT is going to offer large number of applications in various environments for improving the quality of our lives. Routing issues become more and more challenging for low-power and lossy radio-links, multi-hop mesh topologies, the battery supplied nodes and frequently changed network topologies. So that IOT routing protocols has some challenges like traffic Patterns, Energy efficiency, Scalability, Mobility Energy-aware metrics for routing protocol in IOT are node energy, throughput, latency, link quality. The multimedia transmission in IOT depends on a routing protocol to determine stable and resource efficient path, and to provide varying levels of QoS/QoE based on different requirements. The Quality- of-Service (QoS)/Quality-of- experience (QoE ) guarantee for multimedia in internet of things . The current research and development activities have been restricted to scalar sensor data based IOT systems and overlooked the challenges of provisioning multimedia devices over IOT.

2020 ◽  
Vol 16 (3) ◽  
pp. 1-31
Author(s):  
Varsha Shani ◽  
Manju Bala ◽  
Manoj Kumar ◽  
Neeraj Kumar

Introduction: This article is the result of the research “Energy efficient routing protocols in wireless sensor network: Examine the impact of M-SEEC routing protocols on the lifetime of WSN with an energy efficient TABU optimization routing protocol”developed in the IKG, Punjab Technical University, India in 2019.Problem: The task of finding and maintaining routes in WSNs is non-trivialsince energy restrictions and sudden changes in node status cause frequent and unpredictable changes.Objective: The objective of this paper is to propose an energy efficient heterogeneous protocolwith the help of a hybrid meta-heuristic technique.Methodology: In the hybrid meta-heuristic technique, the shortest route has been selected and the data forwarded to the sink in a minimal time span,savingenergy and making the network more stable. To evaluate the technique, a new hybrid technique has been created where the data transmission is implemented from the beginning under MATLAB 2013a.Results: The proposed technique is better than the existing ones since the remaining energy in the network is increased by 62% compared to normal nodes in MSEEC, 65% compared to advanced nodes in MSEEC and 70% compared to super nodes in MSEEC. The network lifetime was also enhanced by 70.8% compared to MSEEC.Conclusion: The proposed protocol was found to be superior based on the average residual energy.This paper proposes an efficient routing mechanism towards the energy efficient network.Originality: Through this research, a novel version of MSEEC protocol is carried out using the TABU search mechanism to generate the functions of two neighbourhoods to detect the optimum path with the aim of maximizing the network lifetime in an area of 200×200m2.Limitations: The lack of other routing techniques falls under swarm intelligence.


Author(s):  
Fatima Al-Shihri ◽  
Mohammed Arafah

The authors proposed a Reliable and energy efficient Routing Protocol (RRP) for underwater sensor network, integrating the desired features of the Directional Flooding based Routing (DFR) and Vector Based Void Avoidance (VBVA) protocols. The new algorithm considers reliability and takes into consideration the residual energy for each node before choosing the forwarding node. RRP relies on a packet flooding technique to increase reliability. However, to prevent a packet from flooding to the whole network, they control the number of nodes forwarding a packet by measuring a link quality between nodes in a hop by hop. To mitigate the effect of the inherent void problem, the authors consider residual energy, link quality, and distance from destination node to choose a reliable path to forward packet to destination. The authors observe that RRP protocol has better performance in terms of the packet delivery ratio than the DFR protocol due to the void avoidance technique.


2011 ◽  
Vol 403-408 ◽  
pp. 1696-1699
Author(s):  
Cai Xia Li ◽  
Nai Bo Wang ◽  
Qi Ying Cao ◽  
Hong Gang Liu ◽  
Xin Hua Zhou

Nodes self-localization and routing are two main research issues in wireless sensor networks. There are quite a few publications about sensor network localization or routing protocols, but seldom person combines them in their research work. In this paper, we combine a novel TOA location technique and a new centralized energy-efficient routing protocol. The performance of the combination is then simulated by software. Simulation results show that the routing based on the positions got by our location algorithm is as good as the routing based on true positions and can afford most application demands.


2022 ◽  
Vol 6 (1) ◽  
pp. 31-42
Author(s):  
Zainab Alansari ◽  
Mohammed Siddique ◽  
Mohammed Waleed Ashour

Wireless sensor networks (WSNs) are set of sensor nodes to monitor and detect transmitted data to the sink. WSNs face significant challenges in terms of node energy availability, which may impact network sustainability. As a result, developing protocols and algorithms that make the best use of limited resources, particularly energy resources, is critical issues for designing WSNs. Routing algorithms, for example, are unique algorithms as they have a direct and effective relationship with lifetime of network and energy. The available routing protocols employ single-hop data transmission to the sink and clustering per round. In this paper, a Fuzzy Clustering and Energy Efficient Routing Protocol (FCERP) that lower the WSNs energy consuming and increase the lifetime of network is proposed. FCERP introduces a new cluster-based fuzzy routing protocol capable of utilizing clustering and multiple hop routing features concurrently using a threshold limit. A novel aspect of this research is that it avoids clustering per round while considering using fixed threshold and adapts multi-hop routing by predicting the best intermediary node for clustering and the sink. Some Fuzzy factors such as residual energy, neighbors amount, and distance to sink considered when deciding which intermediary node to use.


Author(s):  
Mukhtiar Ahmed ◽  
Mazleena Salleh ◽  
M. Ibrahim Channa ◽  
Mohd Foad Rohani

Underwater Wireless Sensor Networks (UWSNs) is interesting area for researchers.To extract the information from seabed to water surface the the majority numbers of routing protocols has been introduced. The design of routing protocols faces many challenges like deployment of sensor nodes, controlling of node mobility, development of efficient route for data forwarding, prolong the battery power of the sensor nodes, and removal of void nodes from active data forwarding paths. This research article focuses the design of the Reliable Multipath Energy Efficient Routing (RMEER) which develops the efficient route between sensor nodes, and prolongs the battery life of the nodes. RMEER is a scalable and robust protocol which utilizes the powerful fixed courier nodes in order to enhance the network throughput, data delivery ratio, network lifetime and reduces the end-to-end delay. RMEER is also an energy efficient routing protocol for saving the energy level of the nodes. We have used the NS2.30 simulator with AquaSim package for performance analysis of RMEER.We observed that the simulation performance of RMEER is better than D-DBR protocol.


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.


Author(s):  
Tanya Pathak ◽  
Vinay Kumar Singh ◽  
Anurag Sharma

In the recent years, an efficient design of a Wireless Sensor Network has become important in the area of research. The major challenges in the design of Wireless Sensor Network is to improve the network lifetime. The main difficulty for sensor node is to survive in that monitoring area for the longer time that means there is a need to increase the lifetime of the sensor nodes by optimizing the energy and distance. There are various existing routing protocols in which optimal routing can be achieved like Data-Centric, Hierarchical and Location-based routing protocols. In this paper, new power efficient routing protocol is being proposed that not only select the shortest path between the source node and sink node for data transmission but also maximizes the lifetime of the participating nodes by selecting the best path for sending the data packet across the network. The main objective of this research is to develop a faster algorithm to find the energy efficient route for Wireless Sensor Network. Simulation results shows that this strategy achieves long network lifetime when compared to the other standard protocols.


2019 ◽  
Vol 20 (4) ◽  
pp. 641-651
Author(s):  
Salem Sati ◽  
Ahmed Sohoud ◽  
Tareg Abulifa

Mobile Social Sensing Network (MSSN) is a subclass of Wireless Sensor Networks (WSN). This MSSN is consists of mobile sensing transducers carried by people. Sensing information gathered by mobile sensors will transmit to the data sink. This data sink may it is fixed or mobile. But in optimal cases, it should have efficient energy and position compared with other mobile sensors. On the other hand, mobile sensors may have a social tie because they carried by people. Traditional MANET routing protocols such as AODV and DSR are inapplicable or perform poorly for mobile social data sensing. Especially for distributed mobile social sensing. Insufficient performance due to the nature of the mobile sensors which suffering from a limited energy source. In recent days, there are many routing protocols proposed by researchers. These protocols improve the total delivered messagesin mobile social sensing networks, but most of them do not take into account the link bandwidth and node storage limitation, thus routing may lead to more energy consumption among mobile sensing nodes. In this paper, we design an Energy-Efficient Routing Protocol (EERP) for mobile social sensing networks. We consider the node energy as a balance function between the delay of collected data and transmission of sensor nodes to the data sink. Furthermore, we also develop an enhanced version of the suggested EERP which named EERP+S, EERP+S combines the energy percentage and social metric of node degree. EERP and its updated version EERP+S are dynamically adjusting the control function based on data delay and transmission in addition to node activity. Simulation results demonstrate the efficiency of EERP and EERP+S compared with the flooding behavior of an Epidemic. Epidemic and its social version Ep-Soc are compared with suggested protocols in distributed mobile social sensing paradigms.


2021 ◽  
Author(s):  
Khuram Khalid

In this thesis, a history-based energy-efficient routing protocol (called AEHBPR) for opportunistic networks (OppNets) is proposed, which saves the energy consumption by avoiding unnecessary packets transmission in the network and by clearing the buffer of nodes carrying the copies of the already delivered packets. The proposed AEHBPR protocol is evaluated using the Opportunistic NEtwork (ONE) simulator with both synthetic and real mobility traces, showing a superior performance compared to the History-Based Prediction for Routing (HBPR) protocol and AEProphet, in terms of average remaining energy, number of dead nodes, number of delivered messages, and overhead ratio, where AEProphet is the ProPHet routing protocol for OppNets on which the same energy-aware mechanism has been implemented.


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