A Method to Analyze the Effectiveness of the Holes Healing Scheme in Wireless Sensor Network

Abstract

Because of the maturation of wireless technologies, the wireless sensor network has been used in various applications, especially in the environmental monitoring. After the nodes are deployed on the surveillance field, nodes will die due to the limited energy of the node or accidental events, inducing the coverage holes and the break of the transference path. To tackle this problem, researchers had proposed the rebuild network topology, such as adding Relay nodes. However, it costs a lot to build such a system. Therefore, in this paper, we would like to propose another method to tackle the dying nodes as well as the cost. Specifically, we propose a holes healing scheme. In order to check its feasibility, we use the analysis of mathematics to acquire the value of the parameters for the holes healing scheme. With the parameters, we could use the simulated result to prove the effectiveness of the scheme. The result shows that with the appropriate parameters we could confirm and extend the lifetime of WSN to infinity.

A Survey on Analytical Modeling and Mitigation Techniques for the Energy Hole Problem in Corona-Based Wireless Sensor Network

“…They used the principle of non-uniform node distribution to ensure energy balancing and extend the network lifetime Lin et al [62] They focused on the cost proposed a device provisioning framework in accordance with hierarchical communication architecture. Based on the application scenario, device provisioning strategies can be either random or deterministic.…”

“…Mhatre and Rosenberg [62], authors described the proportionality between the number of regular sensors and the square of the number of CHs. By analyzing two modes of communication between the BS and the sensors, they concluded that for path loss = 2, multi-hop communication was useless.…”

“…Multi-hop communication would be more applicable in situations in which each CH sits at the center of a circle divided into concentric rings of equal width. Based on the assumption that multiple hops have roughly equal lengths, Mhatre and Rosenberg [62] calculated the optimal forwarding distance for each hop. However, they did not prove that it was optimal to have hops with equal length.…”

An Energy Efficient Self-healing Mechanism for Long Life Wireless Sensor Networks

“…Wang et al [9] surveyed the mobility approach for topology healing in wireless sensor networks. Two main mobility strategies can be listed: mobility of sensor nodes [10]- [12] and the deployment of additional mobile robots [13]. Ghosh et al show in [10] that Voronoi Diagrams can be used to detect and heal topology change problems like coverage or energy holes.…”

A Coverage Hole Healing Strategy with Awareness of Data Delivery Time in Wireless Sensor Networks

“…Active redundant nodes must derive hole information and calculate the healing efficiency before moving, a method which may induce erroneous movement and result in wasted energy. Besides the problem of energy consumption, the speed of the mobile nodes' movement is a critical issue which will affect the efficiency of the healing scheme; see [20] for further details. Authors in [21] considered a small group of mobile robots operating in WSNs and proposed the randomized robot-assisted relocation of static sensors (R3S2) and a grid-based variant (G-R3S2) algorithm for hole identification and coverage repair.…”