Supervisory routing control for dynamic load balancing in low data rate wireless sensor networks

Kamal, Abu Raihan Mostofa; Hamid, Abd.

doi:10.1007/s11276-016-1209-z

Cited by 19 publications

(9 citation statements)

References 15 publications

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“…Significant research is needed to overpower the aforementioned shortages through load balancing, localization and system design techniques, and additional energy efficient routing like that in Kim 3 and Kamal and Hamid. 4 For WSN that has unique base station, [4][5][6] sensors here generate data and it will be forwarded to sink through various routing mechanisms. Networks that have sinks in multiple number will route the data traffic generated to multiple base stations via the techniques of splitting.…”

Section: Introductionmentioning

confidence: 99%

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Hadi

Ahmed

Minhas

et al. 2016

International Journal of Distributed Sensor Networks

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A wireless-powered cooperative energy aware anycast routing protocol is proposed in this work. In contrary to conventional cooperative networks, it is considered here that all the relays did not have embedded energy supply, rather equipped with rechargeable batteries and energy harvesting units. Hence, from source signals, they accumulate sufficient harvested energy before the information is forwarded to its destination. Each relay between two basic modes will switch adaptively, which are information forwarding and energy harvesting. The research is limited to decode-and-forward scheme and fixed ratio combining, which works at the relay node of the network and the receiver end, respectively. The physical layer cooperative diversity and network layer multi-hop routing lead us to devise a minimum energy routing protocol as the joint optimization of power required for transmission at physical layer and also at network layer for the process to select a link. Simulating our algorithm demonstrates that the suggested cooperative energy aware anycast routing scheme has a better end-to-end delay and better ratio of packet delivery. Results further reveal that our proposed algorithm has improved energy consumption in comparison to the non-cooperative energy aware anycast scheme and the cooperation-based robust cooperative routing protocol scheme. Sensed data are allocated between nearby nodes by cooperative energy aware anycast routing in a cost-effective way in order to achieve maximum network lifetime.

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Section: Introductionmentioning

confidence: 99%

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Hadi

Ahmed

Minhas

et al. 2016

International Journal of Distributed Sensor Networks

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“…The algorithm confirms the occurrence of an energy a hole when it fails to find a set of neighbors, it accordingly forwards the responsibility to the neighbors nearer to the source node. The paper in [50] proposed a supervisory routing control for dynamic load balancing. This greedy algorithm avoids early death of relatively overloaded nodes that cause network partition.…”

Section: Greedy Route Selection/transformmentioning

confidence: 99%

A Proactive Energy-Awareness Based Traffic Routing in Tree Topology Wireless Sensor Networks Precluding Energy Holes Formation

Mustafa¹,

Ali²,

Rasid³

et al. 2020

Preprint

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A single tree topology is a commonly employed topology for wireless sensor networks (WSN) to connect sensors to one or more remote gateways. However, its many-to-one traffic routing pattern imposes heavy burden on downstream nodes, as the same routes are repeatedly used for packet transfer, from one or more upstream branches. The challenge is how to choose the most optimal routing paths that minimizes energy consumption across the entire network. This paper proposes a proactive energy awareness-based many-to-one traffic routing scheme to alleviate the above said problem referred to as Energy Balance-Based Energy Hole Alleviation in tree topology (EBEHA-T). This protocol combines updated status of variations in energy consumption pattern around sink-hole zones and distribution of joint nodes among the trees. With this approach, EBEHA-T proactively prevents sink-hole formation instead of just a reactive response after they have occurred. Performance evaluation of EBEHA-T against benchmark method RaSMaLai shows increased energy saving across the entire network and a marked improvement in energy consumption balance in energy-hole zones. This precludes energy hole formation and the consequent network partitioning, leading to improved network lifetime beyond that of the RasMaLai. OMNET++ network simulation software has been used for the evaluation.

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“…In addition, in a WSN since the wireless sensor is powered by a battery, an energy efficient and reliable load balancing is relatively important. There are many approaches to reduce energy consumption in WSNs [5,10]. Such as load balancing among wireless sensor nodes, path selection when transmitting data, scheduling problems, sleep mechanism when there is no sensitive data, correctness of transmitting data, and so on [11,34,35].…”

Section: Introductionmentioning

confidence: 99%

“…Hence, for the networks with limited resources, a uniform load balancing or traffic distribution strategy is always a challenging task specifically for the research community to resolve the aforementioned issue particularly with available resources. A well-known methodology that is multiple-path enabled load balancing schemes, which are primarily based on residual energy E r of neighboring devices C i , were presented to distribute net-work traffic uniformly across different communication paths [7]- [10]. In this scheme, sensor nodes can send data to t h e neighbors whose hop-count values are greater than the sender node.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Smart Weighted and Neighborhood-enabled Load Balancing Scheme for Constraint Oriented Networks

Almaiah¹

2020

IJACSA

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In Wireless Sensor Networks (WSNs), uniform load or traffic distribution strategy is one of the main challenging issues, which is tightly coupled with the resource-limited networks. To address this problem, various mechanisms have been developed and presented in the literature. However, these approaches were either application specific that is designed for a specific application area such as smart building or overlay complex. Therefore, a simplified and energy efficient loadbalancing scheme is always needed for the resource-limited networks. In this paper, an efficient and neighborhood-enabled load-balancing scheme is presented to resolve the aforementioned issues specifically with available resources. For this purpose, the proposed scheme bounds every member node to collect various information about neighboring nodes i.e., those nodes resides in its communication range. Moreover, if residual energy Er of sensor node is less than the defined threshold value then it shares this information with neighboring nodes. In the proposed neighborhood-enabled load balancing scheme, every sensor node Ci prefers to route packets through the optimal paths particularly those paths where probability of critical nodes is negligible i.e., path where critical node(s) are not deployed. Simulation results showed that the proposed neighborhoodenabled load-balancing scheme is better than existing approaches in terms of network lifetime (both individual node and whole WSNs), throughput, and average packet delivery ratio and endto-end delay performance metrics.

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Supervisory routing control for dynamic load balancing in low data rate wireless sensor networks

Cited by 19 publications

References 15 publications

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

A Proactive Energy-Awareness Based Traffic Routing in Tree Topology Wireless Sensor Networks Precluding Energy Holes Formation

An Efficient Smart Weighted and Neighborhood-enabled Load Balancing Scheme for Constraint Oriented Networks

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