A novel routing protocol based on grey wolf optimization and Q learning for wireless body area network

Bedi, Pradeep; Das, Sanjoy; Goyal, S. B.; Shukla, Piyush Kumar; Mirjalili, Seyedali; Kumar, Manoj

doi:10.1016/j.eswa.2022.118477

Cited by 26 publications

(6 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The simulation results shown in Figure 7 demonstrate that PROPOSED 3 conserves energy reserves during the stability period, allowing for increased transmission of data packets to the sink. This highlights the energy efficiency of PROPOSED 3 during this period, in comparison with the PSOBAN [14], [15], and RE-ATTEMPT [16] protocols.…”

Section: Residual Energymentioning

confidence: 83%

“…The first evaluation step consists in analyzing the number of dead nodes during the simulation. According to Figure 6, we notice that for PSOBAN [14], [15] and RE-ATTEMPT [16], the first node dies after a specific period of time. On the other hand, in the case of PROPOSED3, this same node dies after a different period of time and considerably later than that for RE-ATTEMPT and PSOBAN.…”

Section: Stability Periodmentioning

confidence: 99%

“…As previously mentioned, we will compare our third approach, which relies on a chain of sensors, with the PSOBAN [14], [15] and Re-ATTEMPT [16] routing protocols. The following subsections identify the key performance indicators that will be used in the comparison.…”

Section: Comparative Studymentioning

confidence: 99%

“…The researches [14], [15] looked into an energy-effective routing system for heterogeneous WBAN based on the particle swarm optimization technique. By using a particle swarm optimization technique to optimize residual energy and distance, the proposed protocol selects the relay node between the source nodes and the sink and transmits the data packets in a multi-hop manner.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Chain based routing approach to improve lifespan in wireless body area networks

Sidhoum,

Hadjila,

Merzougui

2024

TELKOMNIKA

View full text Add to dashboard Cite

One of the most significant limitations in wireless body area network (WBAN) is the requirement for low energy usage. For this reason, several routing techniques and protocols have been put out to provide an efficient means of energy saving during communication. In this work, we propose three approaches based on the formation of a chain of sensor nodes using a matrix of distances. The first approach is based on forming a single chain using the shortest distances. The second and the third consist in changing the position of the sink by forming a single cluster using the fuzzy C-means (FCM) method and the center of the latter constitutes the new position of the sink. In comparison to RE-ATTEMPT and PSOBAN, the third proposed chain-based approach has enabled a remarkable energy savings, which may have a big impact on the network's entire lifespan.

show abstract

Section: Residual Energymentioning

confidence: 83%

Section: Stability Periodmentioning

confidence: 99%

Section: Comparative Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Chain based routing approach to improve lifespan in wireless body area networks

Sidhoum,

Hadjila,

Merzougui

2024

TELKOMNIKA

View full text Add to dashboard Cite

show abstract

“…The work identifies the major sources of energy depletion and follows up with a 2-hop routing model that can be energy efficient and also can effectively handle issues occurring due to posture changes. Other similar routing models for energy awareness include the grey wolf optimization-based model [21] and the energy harvesting-based model [22]. A comparative analysis of the discussed literature works has been tabulated and provided in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Metaheuristic based routing incorporated with energy harvesting for enhanced network lifetime in WBAN

Sathya

Evanjaline

2023

Bulletin EEI

View full text Add to dashboard Cite

Wireless body area networks (WBAN) have improved healthcare industries to a large extent by providing contactless measurements and remote data analysis. However, the challenges encountered are mostly in the form of energy depletion scenarios, which results in the reduction of network lifetime to a large extent. This work presents an effective model to provide energy-efficient routing and enhanced energy harvesting mechanisms to improve network lifetime. The ant colony optimization (ACO) method has been extended to include a fitness function that takes into account several factors, and this is the basis for the routing model. These processes ensure effective routing, which conserves energy and, in turn, results in enhanced network lifetime. Performance of the proposed model has been compared with the existing state-of-the-art models in the domain. Comparison with the metaheuristic-based model, cooperative energy efficient and priority based reliable routing protocol with network coding (CEPRAN), indicates the efficiency of the energy harvesting mechanism used in the proposed work. When compared with models using energy harvesting mechanisms, results exhibit higher network lifetime, depicting the efficiency of the proposed routing mechanism.

show abstract