Collision avoidance slot allocation scheme for multi-cluster wireless sensor networks

Alshawaqfeh, Mustafa; Abu-El-Haija, Ahmad I.; Abdel-Rahman, Mohammad J.

doi:10.1007/s11276-012-0527-z

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…The authors of [ 29 ] divided M2M wireless communication interference into inter-cluster and intra-cluster interference and then employed a mixed integer nonlinear programming method to manage radio resources. The authors of [ 30 , 31 ] introduced an adaptive time-slot dynamic, self-management mechanism for increasing the inter-cluster interference; the simulation results verified the strategy. In addition, previous studies [ 32 , 33 , 34 ] have increased the reliability of clustered networks by adopting dynamic sleep, MIMO, and cognitive radio technologies.…”

Section: Related Workmentioning

confidence: 96%

Efficient Deployment of Key Nodes for Optimal Coverage of Industrial Mobile Wireless Networks

Dong

et al. 2018

Sensors

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In recent years, industrial wireless networks (IWNs) have been transformed by the introduction of mobile nodes, and they now offer increased extensibility, mobility, and flexibility. Nevertheless, mobile nodes pose efficiency and reliability challenges. Efficient node deployment and management of channel interference directly affect network system performance, particularly for key node placement in clustered wireless networks. This study analyzes this system model, considering both industrial properties of wireless networks and their mobility. Then, static and mobile node coverage problems are unified and simplified to target coverage problems. We propose a novel strategy for the deployment of clustered heads in grouped industrial mobile wireless networks (IMWNs) based on the improved maximal clique model and the iterative computation of new candidate cluster head positions. The maximal cliques are obtained via a double-layer Tabu search. Each cluster head updates its new position via an improved virtual force while moving with full coverage to find the minimal inter-cluster interference. Finally, we develop a simulation environment. The simulation results, based on a performance comparison, show the efficacy of the proposed strategies and their superiority over current approaches.

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