Location-Based Medium Access Control Protocol for Data Intensive Wireless Sensor Networks

2013 ◽  
Vol 756-759 ◽  
pp. 209-213
Author(s):  
Guo Yan Yang ◽  
Xin Guan ◽  
Yan Feng Li

The traditional CSMA MAC node simply blocks its transmission if the medium is sensed to be busy. Thus, it is inefficient in terms of the network throughput due to overcautious estimation of the interference. In this paper, we propose a novel location-aware medium access protocol for data intensive wireless sensor networks. In this protocol, the contending nodes make use of their location information to achieve the concurrent transmission of exposed terminal so as to reduce collisions and improve the overall performance. We evaluate it in terms of delay and throughput and compare it with S-AMC using simulations. Results show that the proposed MAC protocol can take advantage of the location distribution of nodes to improve the average throughput of the network, reducing data transmission delay, and effectively improving the efficiency and performance in data intensive wireless sensor networks compared to S-AMC.

Author(s):  
Herman S Sahota ◽  
Ratnesh Kumar ◽  
Ahmed E Kamal

This chapter explores the design of wireless sensor networks for applications in precision agriculture. A short review of developments in precision agriculture and recent applications of wireless sensor networks in the area is presented. The authors present their design of medium access control and network layer protocols exploring the challenges and opportunities associated with the design of such a networked system. The physical layer in their network allows multiple power modes in both receive and transmit operations. The MAC layer employs these multiple power modes to implement a novel wake-up synchronization mechanism to reduce the energy overhead. The network layer ensures reliable collection of data while balancing the energy consumption among the nodes. Finally, the authors present an analytical approach to model the behavior of the MAC protocol developed and compare it against the duty-cycle based S-MAC protocol. The results are also confirmed using simulations.


2011 ◽  
Vol 8 (1) ◽  
pp. 601321 ◽  
Author(s):  
Angelos Antonopoulos ◽  
Christos Verikoukis

We introduce a novel Medium Access Control (MAC) protocol for Automatic Repeat reQuest-based (ARQ-based) cooperative wireless sensor networks. Using network coding techniques, we achieve a better network performance in terms of energy efficiency without compromising the offered Quality of Service (QoS). The proposed solution is compared to other cooperative schemes, while analytical and simulation results are provided to evaluate our protocol.


2020 ◽  
Vol 8 (6) ◽  
pp. 1585-1591

Wireless Sensor Networks (WSNs) have increased huge consideration because of their wide scope of utilizations. In these networks, the sensor hubs gather various kinds of information from the general condition. During the transmission of collected data packets, some of them will be dropped due to the collision of packets. So, collide packets are retransmitted which may lead the network to high energy consumption. As Medium Access Control (MAC) protocol has responsible for reliable communication in WSN, an enhanced MAC protocol has to be proposed for improving energy efficiency of the network. By considering this solution, Fuzzy Based Enhanced Medium Access Control protocol (Fuzzy-MAC) is proposed in this paper. Before transmission, data packets are prioritized using the Fuzzy system. Then the packets are transmitted in light of the need of the parcels. Simulation results show that the exhibition of the proposed Fuzzy-MAC beats that of existing MAC protocols as far as energy utilization, delivery ratio and throughput.


Author(s):  
H. Malik ◽  
E. Shakshuki ◽  
M. Denko

This article reports an ongoing research that proposes an approach to the expansion of sensor-MAC (S-MAC), a cluster-based contention protocol to intelligent medium access control (I-MAC) protocol. I-MAC protocol is designed especially for wireless sensor networks (WSNs). A sensor network uses battery-operated computing and sensing devices. A network of these devices are used in many applications, such as agriculture and environmental monitoring.


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