Energy-aware management for cluster-based sensor networks

Abstract

Networking unattended sensors is expected to have a significant impact on the efficiency of many military and civil applications. Sensors in such systems are typically disposable and expected to last until their energy drains. Therefore, energy is a very scarce resource for such sensor systems and has to be managed wisely in order to extend the life of the sensors for the duration of a particular mission. In this paper, we present a novel approach for energy-aware management of sensor networks that maximizes the lifetime of the sensors while achieving acceptable performance for sensed data delivery. The approach is to dynamically set routes and arbitrate medium access in order to minimize energy consumption and maximize sensor life. The approach calls for network clustering and assigns a less-energy-constrained gateway node that acts as a cluster manager. Based on energy usage at every sensor node and changes in the mission and the environment, the gateway sets routes for sensor data, monitors latency throughout the cluster, and arbitrates medium access among sensors. We also describe a time-based Medium Access Control (MAC) protocol and discuss algorithms for assigning time slots for the communicating sensor nodes. Simulation results show an order of magnitude enhancement in the time to network partitioning, 11% enhancement in network lifetime predictability, and 14% enhancement in average energy consumed per packet.

Energy Aware Clustering and Aggregate Node Rotation with Sink Relocation in WSN

“…Energy-aware management for cluster-based sensor networks was proposed by M. Younis et al [3] where they present a novel approach for energy-aware management of sensor networks that maximizes the lifetime of the sensors while achieving acceptable performance for sensed data delivery. They dynamically set routes and arbitrate medium access in order to minimize energy consumption and maximize sensor life.…”

Cluster head selection by randomness with data recovery in WSN

“…Table 1 shows the throughput of the network with and without application of proposed method. We have simulated the scenario for different times as 600, 1200, 10800 and 18000 s. Figures 5,6,7,8,9,10,11,and 12 show the throughput of the network with and without application of the proposed method for different times.…”

“…For providing the more reliability in the sensor networks, heterogeneous sensor networks are considered for main research in recent past [5][6][7][8]. Clustering can be used in the sensor network to improve the lifetime of the network and scalability [9]. Clustering also reduces the size of routing table, use of the power and the communication overhead, because there is less amount of inter cluster communication occur [9,10].…”

“…Clustering can be used in the sensor network to improve the lifetime of the network and scalability [9]. Clustering also reduces the size of routing table, use of the power and the communication overhead, because there is less amount of inter cluster communication occur [9,10]. Generally each cluster contains a leader node that is known as Cluster head.…”

Cooperative Data Management in Wireless Sensor Networks

“…Clustering can also enhance the network operation and prolong the network lifetime. 40 A CH can schedule activities in a round-robin order in the cluster so that nodes can switch to the lowpower sleep mode most of the time and reduce their energy consumption. The cluster head role can also be rotated in order to distribute the energy consumption evenly among all sensors in the network.…”